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Content
May 2025, Volume 36, Issue 4
- e70014 Evaluation of ETAS and STEP Forecasting Models for California Seismicity Using Point Process Residuals
by Joshua Ward & Maximilian Werner & William Savran & Frederic Schoenberg - e70016 On Tail Structural Change in U.S. Climate Data
by Hanjun Lu & Alan P. Ker - e70018 Learning From Limited Temporal Data: Dynamically Sparse Historical Functional Linear Models With Applications to Earth Science
by Joseph Janssen & Shizhe Meng & Asad Haris & Stefan Schrunner & Jiguo Cao & William J. Welch & Nadja Kunz & Ali A. Ameli
April 2025, Volume 36, Issue 3
- e70007 Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado
by Kadie S. Clark & J. Isaac Miller - e70009 Simple Yet Effective: A Comparative Study of Statistical Models for Yearly Hurricane Forecasting
by Pietro Colombo & Raffaele Mattera & Philipp Otto - e70010 Carbon Tax Versus Renewable Energy Innovation: Theoretical Insights and Empirical Evidence
by Amit Roy & Pu Chen & Willi Semmler - e70011 Joint Modeling of Wind Speed and Wind Direction Through a Conditional Approach
by Eva Murphy & Whitney Huang & Julie Bessac & Jiali Wang & Rao Kotamarthi - e70012 From Climate Chat to Climate Shock: Non‐Linear Impacts of Transition Risk in Energy CDS Markets
by Emanuele Campiglio & Luca De Angelis & Paolo Neri & Ginevra Scalisi - e70013 A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data
by Anabel Blasco‐Moreno & Pedro Puig - e70015 Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data
by Zih‐Bing Chen & Hao‐Yun Huang & Cheng‐Xin Yang
March 2025, Volume 36, Issue 2
- e2891 A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables
by Sandra De Iaco & Claudia Cappello & Monica Palma & Klaus Nordhausen - e2893 Multidimensional Spatiotemporal Clustering – An Application to Environmental Sustainability Scores in Europe
by Caterina Morelli & Simone Boccaletti & Paolo Maranzano & Philipp Otto - e2894 Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction
by Ilaria Pia & Elina Numminen & Lari Veneranta & Jarno Vanhatalo - e2895 Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions
by Donatella Baiardi & Simona Scabrosetti - e2896 The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach
by Changli He & Jian Kang & Annastiina Silvennoinen & Timo Teräsvirta - e2897 P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range
by Leonardo Brandao Freitas Nascimento & Max Sousa Lima & Luiz H. Duczmal - e2898 Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models” by Bonas et al
by Philipp Otto - e2900 Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models
by Francesco Finazzi & Jacopo Rodeschini & Lorenzo Tedesco - e2901 Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids
by Juan Francisco Mandujano Reyes & Ting Fung Ma & Ian P. McGahan & Daniel J. Storm & Daniel P. Walsh & Jun Zhu - e2902 Fuzzy Clustering of Circular Time Series With Applications to Wind Data
by Ángel López‐Oriona & Ying Sun & Rosa María Crujeiras - e70000 “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”
by Nathaniel K. Newlands & Vyacheslav Lyubchich - e70001 Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”
by Paolo Maranzano & Paul A. Parker - e70002 Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation
by Jens Riis Baalkilde & Niels Richard Hansen & Signe Marie Jensen - e70003 Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models
by Ansgar Steland - e70004 Statistical Inference for Natural Resources and Biodiversity
by Sara Franceschi & Caterina Pisani - e70005 Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events
by Albert Folcher & Jean‐François Quessy - e70006 New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models
by Thiago A. N. De Andrade & Frank Gomes‐Silva & Indranil Ghosh
January 2025, Volume 36, Issue 1
- e2842 Sampling design methods for making improved lake management decisions
by Vilja Koski & Jo Eidsvik - e2846 Testing for galactic cosmic ray warming hypothesis using the notion of block‐exogeneity
by Umberto Triacca - e2852 High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM10 monitoring
by Adelia Evangelista & Christian Acal & Ana M. Aguilera & Annalina Sarra & Tonio Di Battista & Sergio Palermi - e2853 A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities
by Serena Arima & Crescenza Calculli & Alessio Pollice - e2864 Assessing predictability of environmental time series with statistical and machine learning models
by Matthew Bonas & Abhirup Datta & Christopher K. Wikle & Edward L. Boone & Faten S. Alamri & Bhava Vyasa Hari & Indulekha Kavila & Susan J. Simmons & Shannon M. Jarvis & Wesley S. Burr & Daniel E. Pagendam & Won Chang & Stefano Castruccio - e2865 Functional zoning of biodiversity profiles
by Natalia Golini & Rosaria Ignaccolo & Luigi Ippoliti & Nicola Pronello - e2869 Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions
by Rosa M. Di Biase & Marzia Marcheselli & Caterina Pisani - e2870 Applying sequential adaptive strategies for sampling animal populations: An empirical study
by Rosa M. Di Biase & Fulvia Mecatti - e2875 Similarity network aggregation for the analysis of glacier ecosystems
by Roberto Ambrosini & Federica Baccini & Lucio Barabesi - e2876 Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers
by Greta Panunzi & Stefano Moro & Isa Marques & Sara Martino & Francesco Colloca & Francesco Ferretti & Giovanna Jona Lasinio - e2883 A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions
by Svetlana Saarela & Sean P. Healey & Zhiqiang Yang & Bjørn‐Eirik Roald & Paul L. Patterson & Terje Gobakken & Erik Næsset & Zhengyang Hou & Ronald E. McRoberts & Göran Ståhl - e2884 Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression
by Emrah Gecili & Cole Brokamp & Özgür Asar & Eleni‐Rosalina Andrinopoulou & John J. Brewington & Rhonda D. Szczesniak - e2885 Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data
by L. Altieri & D. Cocchi & M. Ventrucci - e2888 Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data
by Fabian R. Ketwaroo & Eleni Matechou & Matthew Silk & Richard Delahay - e2892 Calibrating Satellite Maps With Field Data for Improved Predictions of Forest Biomass
by Paul B. May & Andrew O. Finley
December 2024, Volume 35, Issue 8
- e2882 Modeling nonstationary surface‐level ozone extremes through the lens of US air quality standards: A Bayesian hierarchical approach
by Jax Li & Brook T. Russell & Whitney K. Huang & William C. Porter - e2886 A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data
by Kleber H. Santos & Francisco Cribari‐Neto - e2887 Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas
by David Jobst & Annette Möller & Jürgen Groß - e2889 Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression
by Matteo Tomasetto & Eleonora Arnone & Laura M. Sangalli - e2890 Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs Posterior Inference Approach
by Brook T. Russell & Yiren Ding & Whitney K. Huang & Jamie L. Dyer
August 2024, Volume 35, Issue 5
- e2848 Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects
by Jesper Muren & Vilhelm Niklasson & Dmitry Otryakhin & Maxim Romashin - e2849 Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data
by Xin Wang & Xin Zhang - e2850 Contamination severity index: An analysis of Bangladesh groundwater arsenic
by Yogendra P. Chaubey & Qi Zhang - e2851 Pointwise data depth for univariate and multivariate functional outlier detection
by Cristian F. Jiménez‐Varón & Fouzi Harrou & Ying Sun - e2854 Bayesian benchmark dose risk assessment with mixed‐factor quantal data
by Mirjana Glisovic‐Bensa & Walter W. Piegorsch & Edward J. Bedrick
June 2024, Volume 35, Issue 4
- e2838 Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk
by Hidekazu Yoshioka & Yumi Yoshioka - e2840 Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach
by Elliot S. Shannon & Andrew O. Finley & Daniel J. Hayes & Sylvia N. Noralez & Aaron R. Weiskittel & Bruce D. Cook & Chad Babcock - e2843 Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability
by Danielle Demateis & Kayleigh P. Keller & David Rojas‐Rueda & Marianthi‐Anna Kioumourtzoglou & Ander Wilson - e2844 Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets
by Si Cheng & Bledar A. Konomi & Georgios Karagiannis & Emily L. Kang - e2847 Estimation and selection for spatial zero‐inflated count models
by Chung‐Wei Shen & Chun‐Shu Chen
May 2024, Volume 35, Issue 3
- e2834 Temporal evolution of the extreme excursions of multivariate k$$ k $$th order Markov processes with application to oceanographic data
by Stan Tendijck & Philip Jonathan & David Randell & Jonathan Tawn - e2836 New generalized extreme value distribution with applications to extreme temperature data
by Wilson Gyasi & Kahadawala Cooray - e2837 Structural equation models for simultaneous modeling of air pollutants
by Mariaelena Bottazzi Schenone & Elena Grimaccia & Maurizio Vichi - e2839 Multivariate nearest‐neighbors Gaussian processes with random covariance matrices
by Isabelle Grenier & Bruno Sansó & Jessica L. Matthews - e2845 Fast parameter estimation of generalized extreme value distribution using neural networks
by Sweta Rai & Alexis Hoffman & Soumendra Lahiri & Douglas W. Nychka & Stephan R. Sain & Soutir Bandyopadhyay
March 2024, Volume 35, Issue 2
- e2829 Spatial regression modeling via the R2D2 framework
by Eric Yanchenko & Howard D. Bondell & Brian J. Reich - e2830 Joint species distribution modeling with competition for space
by Juho Kettunen & Lauri Mehtätalo & Eeva‐Stiina Tuittila & Aino Korrensalo & Jarno Vanhatalo - e2831 An extended PDE‐based statistical spatio‐temporal model that suppresses the Gibbs phenomenon
by Guanzhou Wei & Xiao Liu & Russell Barton - e2832 Locally correlated Poisson sampling
by Wilmer Prentius - e2835 Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables
by Ross McKitrick
February 2024, Volume 35, Issue 1
- e2825 Estimation of change with partially overlapping and spatially balanced samples
by Xin Zhao & Anton Grafström - e2826 Elastic functional changepoint detection of climate impacts from localized sources
by J. Derek Tucker & Drew Yarger - e2827 On the identifiability of the trinomial model for mark‐recapture‐recovery studies
by Simon J. Bonner & Wei Zhang & Jiaqi Mu - e2828 A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency
by F. Marta L. Di Lascio & Andrea Menapace & Roberta Pappadà - e2833 Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression
by Matthew Bonas & Christopher K. Wikle & Stefano Castruccio
December 2023, Volume 34, Issue 8
- e2818 Estimating atmospheric motion winds from satellite image data using space‐time drift models
by Indranil Sahoo & Joseph Guinness & Brian J. Reich - e2820 Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto
by Sara Zapata‐Marin & Alexandra M. Schmidt & Scott Weichenthal & Eric Lavigne - e2821 Bayesian functional emulation of CO2 emissions on future climate change scenarios
by Luca Aiello & Matteo Fontana & Alessandra Guglielmi - e2822 Novel application of a process convolution approach for calibrating output from numerical models
by Maike Holthuijzen & Dave Higdon & Brian Beckage & Patrick J. Clemins - e2823 Bayesian spatio‐temporal survival analysis for all types of censoring with application to a wildlife disease study
by Kehui Yao & Jun Zhu & Daniel J. O'Brien & Daniel Walsh - e2824 A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields
by S. R. Johnson & S. E. Heaps & K. J. Wilson & D. J. Wilkinson
November 2023, Volume 34, Issue 7
- e2804 Detection of anomalous radioxenon concentrations: A distribution‐free approach
by Michele Scagliarini & Rosanna Gualdi & Giuseppe Ottaviano & Antonietta Rizzo - e2805 Bayesian geostatistical modeling for discrete‐valued processes
by Xiaotian Zheng & Athanasios Kottas & Bruno Sansó - e2806 A hierarchical Bayesian non‐asymptotic extreme value model for spatial data
by Federica Stolf & Antonio Canale - e2815 Spatio‐temporal downscaling emulator for regional climate models
by Luis A. Barboza & Shu Wei Chou Chen & Marcela Alfaro Córdoba & Eric J. Alfaro & Hugo G. Hidalgo - e2816 Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data
by Willams B. F. da Silva & Pedro M. Almeida‐Junior & Abraão D. C. Nascimento
September 2023, Volume 34, Issue 6
- e2799 Multistage hierarchical capture–recapture models
by Mevin B. Hooten & Michael R. Schwob & Devin S. Johnson & Jacob S. Ivan - e2800 Subordinated Gaussian processes for solar irradiance
by Caitlin M. Berry & William Kleiber & Bri‐Mathias Hodge - e2802 Assessing the ability of adaptive designs to capture trends in hard coral cover
by AWLP Thilan & P Menéndez & JM McGree - e2803 CO2 has significant implications for hourly ambient temperature: Evidence from Hawaii
by Kevin F. Forbes - e2819 Air pollution estimation under air stagnation—A case study of Beijing
by Ying Zhang & Song Xi Chen & Le Bao
August 2023, Volume 34, Issue 5
- e2792 Nonlinear prediction of functional time series
by Haixu Wang & Jiguo Cao - e2793 CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model
by Antonello Maruotti & Pierfrancesco Alaimo Di Loro - e2797 New estimation methods for extremal bivariate return curves
by C. J. R. Murphy‐Barltrop & J. L. Wadsworth & E. F. Eastoe - e2798 Approximation of Bayesian Hawkes process with inlabru
by Francesco Serafini & Finn Lindgren & Mark Naylor - e2817 Long memory conditional random fields on regular lattices
by Angela Ferretti & L. Ippoliti & P. Valentini & R. J. Bhansali
June 2023, Volume 34, Issue 4
- e2753 Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure
by Kyusoon Kim & Hee‐Seok Oh & Minsu Park - e2765 Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles
by Luke Durell & J. Thad Scott & Douglas Nychka & Amanda S. Hering - e2775 Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions
by Shaochuan Lu - e2782 Stable sums to infer high return levels of multivariate rainfall time series
by Gloria Buriticá & Philippe Naveau - e2786 A Bayesian time series model for reconstructing hydroclimate from multiple proxies
by Niamh Cahill & Jacky Croke & Micheline Campbell & Kate Hughes & John Vitkovsky & Jack Eaton Kilgallen & Andrew Parnell - e2801 Mitigating spatial confounding by explicitly correlating Gaussian random fields
by Isa Marques & Thomas Kneib & Nadja Klein
May 2023, Volume 34, Issue 3
- e2779 Families of complex‐valued covariance models through integration
by Sandra De Iaco - e2785 Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality
by Matthew Heiner & Taylor Grimm & Hayden Smith & Steven D. Leavitt & William F. Christensen & Gregory T. Carling & Larry L. St. Clair - e2794 A Bayesian change point modeling approach to identify local temperature changes related to urbanization
by C. Berrett & B. Gurney & D. Arthur & T. Moon & G. P. Williams - e2795 Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada
by Fatima Palacios‐Rodriguez & Elena Di Bernardino & Melina Mailhot - e2796 Comparing emulation methods for a high‐resolution storm surge model
by Grant Hutchings & Bruno Sansó & James Gattiker & Devin Francom & Donatella Pasqualini
March 2023, Volume 34, Issue 2
- e2731 Intersection between environmental data science and the R community in Latin America
by Natalia da Silva - e2732 Framing data science, analytics and statistics around the digital earth concept
by E. Marian Scott - e2749 Data science and climate risk analytics
by Stephan R. Sain - e2754 Emulation of greenhouse‐gas sensitivities using variational autoencoders
by Laura Cartwright & Andrew Zammit‐Mangion & Nicholas M. Deutscher - e2756 Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data
by Clément Laroche & Madalina Olteanu & Fabrice Rossi - e2758 On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada
by Kevin Granville & Douglas G. Woolford & C. B. Dean & Dennis Boychuk & Colin B. McFayden - e2759 Spatiotemporal modeling of mature‐at‐length data using a sliding window approach
by Yuan Yan & Eva Cantoni & Chris Field & Margaret Treble & Joanna Mills Flemming - e2761 Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data
by Mehnaz Jahid & Holly N. Steeves & Jason T. Fisher & Simon J. Bonner & Saman Muthukumarana & Laura L. E. Cowen - e2769 Flood hazard model calibration using multiresolution model output
by Samantha M. Roth & Ben Seiyon Lee & Sanjib Sharma & Iman Hosseini‐Shakib & Klaus Keller & Murali Haran - e2778 A Bayesian framework for studying climate anomalies and social conflicts
by Ujjal Kumar Mukherjee & Benjamin E. Bagozzi & Snigdhansu Chatterjee - e2784 Estimating functional single index models with compact support
by Yunlong Nie & Liangliang Wang & Jiguo Cao - e2788 Environmental data science: Part 2
by Wesley S. Burr & Nathaniel K. Newlands & Andrew Zammit‐Mangion - e2789 The role of data science in environmental digital twins: In praise of the arrows
by Gordon S. Blair & Peter A. Henrys
February 2023, Volume 34, Issue 1
- e2745 Uncertainty: Nothing is more certain
by Sally Cripps & Hugh Durrant‐Whyte - e2748 Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data
by Shinichiro Shirota & Andrew O. Finley & Bruce D. Cook & Sudipto Banerjee - e2757 Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition
by Marcin Jurek & Matthias Katzfuss - e2762 Detecting changes in mixed‐sampling rate data sequences
by Aaron Paul Lowther & Rebecca Killick & Idris Arthur Eckley - e2763 A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution
by Oliver Baerenbold & Melanie Meis & Israel Martínez‐Hernández & Carolina Euán & Wesley S. Burr & Anja Tremper & Gary Fuller & Monica Pirani & Marta Blangiardo - e2766 Stochastic tropical cyclone precipitation field generation
by William Kleiber & Stephan Sain & Luke Madaus & Patrick Harr - e2767 Decisions, decisions, decisions in an uncertain environment
by Noel Cressie - e2770 Large‐scale environmental data science with ExaGeoStatR
by Sameh Abdulah & Yuxiao Li & Jian Cao & Hatem Ltaief & David E. Keyes & Marc G. Genton & Ying Sun - e2771 A double fixed rank kriging approach to spatial regression models with covariate measurement error
by Xu Ning & Francis K. C. Hui & Alan H. Welsh - e2772 An illustration of model agnostic explainability methods applied to environmental data
by Christopher K. Wikle & Abhirup Datta & Bhava Vyasa Hari & Edward L. Boone & Indranil Sahoo & Indulekha Kavila & Stefano Castruccio & Susan J. Simmons & Wesley S. Burr & Won Chang - e2773 The scope of the Kalman filter for spatio‐temporal applications in environmental science
by Jonathan Rougier & Aoibheann Brady & Jonathan Bamber & Stephen Chuter & Sam Royston & Bramha Dutt Vishwakarma & Richard Westaway & Yann Ziegler - e2780 REDS: Random ensemble deep spatial prediction
by Ranadeep Daw & Christopher K. Wikle - e2783 Data science applied to environmental sciences
by Paulo Canas Rodrigues & Elisabetta Carfagna - e2787 Environmental data science: Part 1
by Andrew Zammit‐Mangion & Nathaniel K. Newlands & Wesley S. Burr
December 2022, Volume 33, Issue 8
- e2760 Mechanistic spatial models for heavy metal pollution
by Wilson J. Wright & Peter N. Neitlich & Alyssa E. Shiel & Mevin B. Hooten - e2768 Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐19
by Giovanna Jona Lasinio & Fabio Divino & Gianfranco Lovison & Marco Mingione & Pierfrancesco Alaimo Di Loro & Alessio Farcomeni & Antonello Maruotti - e2774 Modeling the spatial evolution wildfires using random spread process
by Carlos Díaz‐Avalos & Pablo Juan - e2776 Sequential spatially balanced sampling
by Raphaël Jauslin & Bardia Panahbehagh & Yves Tillé - e2777 Record events attribution in climate studies
by Julien Worms & Philippe Naveau - e2781 A vector of point processes for modeling interactions between and within species using capture‐recapture data
by Alex Diana & Eleni Matechou & Jim E. Griffin & Yadvendradev Jhala & Qamar Qureshi
November 2022, Volume 33, Issue 7
- e2746 A note on statistical tests for homogeneities in multivariate extreme value models for block maxima
by Jona Lilienthal & Leandra Zanger & Axel Bücher & Roland Fried - e2750 From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources
by Rosa Maria Di Biase & Lorenzo Fattorini & Sara Franceschi & Mirko Grotti & Nicola Puletti & Piermaria Corona - e2751 Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes
by Lauren Hoskovec & Sheena Martenies & Tori L. Burket & Sheryl Magzamen & Ander Wilson - e2752 Changepoint detection in autocorrelated ordinal categorical time series
by Mo Li & QiQi Lu - e2755 Clustering of bivariate satellite time series: A quantile approach
by Victor Muthama Musau & Carlo Gaetan & Paolo Girardi - e2764 Regression methods for the appearances of extremes in climate data
by Chang Yu & Ondrej Blaha & Michael Kane & Wei Wei & Denise Esserman & Daniel Zelterman
September 2022, Volume 33, Issue 6
- e2733 Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures
by Efrain Velasco‐Bautista & Martin Enrique Romero‐Sanchez & Eulogio Flores‐Ayala - e2742 Practical strategies for generalized extreme value‐based regression models for extremes
by Daniela Castro‐Camilo & Raphaël Huser & Håvard Rue - e2743 Reconstruction of past human land use from pollen data and anthropogenic land cover changes
by Behnaz Pirzamanbein & Johan Lindström - e2744 A flexible extended generalized Pareto distribution for tail estimation
by Philémon Gamet & Jonathan Jalbert - e2747 Nonparametric estimation of variable productivity Hawkes processes
by Frederic Paik Schoenberg
August 2022, Volume 33, Issue 5
- e2726 Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing
by Philip A. White & Durban G. Keeler & Daniel Sheanshang & Summer Rupper - e2727 Mitigating spatial confounding by explicitly correlating Gaussian random fields
by Isa Marques & Thomas Kneib & Nadja Klein - e2728 Continuous model averaging for benchmark dose analysis: Averaging over distributional forms
by Matthew W. Wheeler & Jose Cortiñas Abrahantes & Marc Aerts & Jeffery S. Gift & Jerry Allen Davis - e2729 Two‐phase adaptive cluster sampling with circular field plots
by Wilmer Prentius & Anton Grafström - e2730 Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method
by Matteo Mazziotta & Adriano Pareto
June 2022, Volume 33, Issue 4
- e2713 Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data
by Phuong T. Vu & Adam A. Szpiro & Noah Simon - e2714 Recognizing a spatial extreme dependence structure: A deep learning approach
by Manaf Ahmed & Véronique Maume‐Deschamps & Pierre Ribereau - e2719 Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution
by Silius M. Vandeskog & Thordis L. Thorarinsdottir & Ingelin Steinsland & Finn Lindgren - e2723 A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown
by Guido Fioravanti & Michela Cameletti & Sara Martino & Giorgio Cattani & Enrico Pisoni - e2724 A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data
by Alice B. V. Mello & Maria C. S. Lima & Abraão D. C. Nascimento
May 2022, Volume 33, Issue 3
- e2706 A combined estimate of global temperature
by Peter F. Craigmile & Peter Guttorp - e2712 A nonstationary and non‐Gaussian moving average model for solar irradiance
by Wenqi Zhang & William Kleiber & Bri‐Mathias Hodge & Barry Mather - e2716 Statistical analysis of multi‐day solar irradiance using a threshold time series model
by Carolina Euán & Ying Sun & Brian J. Reich - e2717 Discussion on “A combined estimate of global temperature”
by Fabio Madonna - e2718 Discussion on “A combined estimate of global temperature”
by Andrew Poppick & Michael L. Stein - e2720 Discussion on “A combined estimate of global temperature”
by Alexandra M. Schmidt & Marco A. Rodríguez - e2721 Discussion on “A combined estimate of global temperature”
by Karen A. McKinnon - e2722 Discussion on “A combined estimate of global temperature”
by Peter W. Thorne - e2725 Rejoinder to the discussion on “A combined estimate of global temperature”
by Peter F. Craigmile & Peter Guttorp
March 2022, Volume 33, Issue 2
- e2707 Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods
by Maryna Krylova & Yarema Okhrin - e2708 Modeling cycles and interdependence in irregularly sampled geophysical time series
by Granville Tunnicliffe Wilson & John Haywood & Lynda Petherick - e2709 Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling
by Saint‐Clair Chabert‐Liddell & Pierre Barbillon & Sophie Donnet - e2710 Scalable multiple changepoint detection for functional data sequences
by Trevor Harris & Bo Li & J. Derek Tucker - e2711 Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling
by Birgir Hrafnkelsson & Helgi Sigurdarson & Sölvi Rögnvaldsson & Axel Örn Jansson & Rafael Daníel Vias & Sigurdur M. Gardarsson
February 2022, Volume 33, Issue 1
- e2699 A Dirichlet process model for change‐point detection with multivariate bioclimatic data
by Gianluca Mastrantonio & Giovanna Jona Lasinio & Alessio Pollice & Lorenzo Teodonio & Giulia Capotorti - e2701 Random fields on the hypertorus: Covariance modeling and applications
by Emilio Porcu & Philip A. White - e2702 Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables
by Karine Hagesæther Foss & Gunhild Elisabeth Berget & Jo Eidsvik - e2703 A projection‐based Laplace approximation for spatial latent variable models
by Jaewoo Park & Sangwan Lee - e2705 Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling
by Miryam S. Merk & Philipp Otto
December 2021, Volume 32, Issue 8
- e2695 An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models
by Luigi Spezia & Andy Vinten & Roberta Paroli & Marc Stutter - e2696 Spatial cluster detection with threshold quantile regression
by Junho Lee & Ying Sun & Huixia Judy Wang - e2697 A self‐exciting marked point process model for drought analysis
by Xiaoting Li & Christian Genest & Jonathan Jalbert - e2698 A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures
by Jonathan Boss & Alexander Rix & Yin‐Hsiu Chen & Naveen N. Narisetty & Zhenke Wu & Kelly K. Ferguson & Thomas F. McElrath & John D. Meeker & Bhramar Mukherjee - e2700 A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance
by Soumya Das & Marc G. Genton & Yasser M. Alshehri & Georgiy L. Stenchikov - e2704 A parametric model for distributions with flexible behaviour in both tails
by Michael L. Stein
November 2021, Volume 32, Issue 7
- e2680 On testing for the equality of autocovariance in time series
by Daniel Cirkovic & Thomas J. Fisher - e2681 Spatiotemporal clustering using Gaussian processes embedded in a mixture model
by Jarno Vanhatalo & Scott D. Foster & Geoffrey R. Hosack - e2682 Bayesian variable selection for high‐dimensional rank data
by Can Cui & Susheela P. Singh & Ana‐Maria Staicu & Brian J. Reich - e2684 Generalized least‐squares in dimension expansion method for nonstationary processes
by Shanshan Qin & Bin Sun & Yuehua Wu & Yuejiao Fu - e2694 Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse
by Jieying Jiao & Guanyu Hu & Jun Yan
September 2021, Volume 32, Issue 6
- e2665 On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics
by Joshua S. North & Erin M. Schliep & Christopher K. Wikle - e2678 Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts
by Sándor Baran & Patrícia Szokol & Marianna Szabó - e2679 Bayesian estimation of heterogeneous environments from animal movement data
by Svetlana V. Tishkovskaya & Paul G. Blackwell - e2683 Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models
by Jenni Niku & Francis K. C. Hui & Sara Taskinen & David I. Warton - e2685 Modeling the duration and size of wildfires using joint mixture models
by Dexen D. Z. Xi & Charmaine B. Dean & Stephen W. Taylor
August 2021, Volume 32, Issue 5
- e2669 Identifying meteorological drivers of PM2.5 levels via a Bayesian spatial quantile regression
by Stella W. Self & Christopher S. McMahan & Brook T. Russell - e2670 Flexible nonstationary spatiotemporal modeling of high‐frequency monitoring data
by Christopher J. Geoga & Mihai Anitescu & Michael L. Stein - e2671 Spatial deformation for nonstationary extremal dependence
by Jordan Richards & Jennifer L. Wadsworth - e2676 Comparing estimation of the parameters of distribution of the root density of plants in the presence of outliers
by Mehdi Jabbari Nooghabi - e2677 Benchmark dose risk analysis with mixed‐factor quantal data in environmental risk assessment
by Maria A. Sans‐Fuentes & Walter W. Piegorsch
June 2021, Volume 32, Issue 4
- e2667 Modeling nonstationary extremes of storm severity: Comparing parametric and semiparametric inference
by Evandro Konzen & Cláudia Neves & Philip Jonathan