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Content
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 - e2668 Causal inference for quantile treatment effects
by Shuo Sun & Erica E. M. Moodie & Johanna G. Nešlehová - e2672 A unified skew‐normal geostatistical factor model
by Marco Minozzo & Luca Bagnato - e2674 Spatial dependence of extreme seas in the North East Atlantic from satellite altimeter measurements
by R. Shooter & E. Ross & A. Ribal & I. R. Young & P. Jonathan - e2675 High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach
by Lu Zhang & Sudipto Banerjee & Andrew O. Finley
May 2021, Volume 32, Issue 3
- e2660 Data fusion with Gaussian processes for estimation of environmental hazard events
by Xiaoyu Xiong & Benjamin D. Youngman & Theodoros Economou - e2661 Modeling short‐ranged dependence in block extrema with application to polar temperature data
by Brook T. Russell & Whitney K. Huang - e2662 Spatial hierarchical modeling of threshold exceedances using rate mixtures
by Rishikesh Yadav & Raphaël Huser & Thomas Opitz - e2663 Likelihood‐based inference for spatiotemporal data with censored and missing responses
by Katherine A. L. Valeriano & Victor H. Lachos & Marcos O. Prates & Larissa A. Matos - e2664 Fast grid search and bootstrap‐based inference for continuous two‐phase polynomial regression models
by Hyunju Son & Youyi Fong
March 2021, Volume 32, Issue 2
- e2655 A smoothing spline model for multimodal and skewed circular responses: Applications in meteorology and oceanography
by Fatemeh Hassanzadeh - e2656 Simultaneous autoregressive models for spatial extremes
by Miranda J. Fix & Daniel S. Cooley & Emeric Thibaud - e2657 A spatiotemporal model for multivariate occupancy data
by Staci A. Hepler & Robert J. Erhardt - e2658 A parametric model for distributions with flexible behavior in both tails
by Michael L. Stein - e2673 Effects of corona virus disease‐19 control measures on air quality in North China
by Xiangyu Zheng & Bin Guo & Jing He & Song Xi Chen
February 2021, Volume 32, Issue 1
- e2641 Robust functional multivariate analysis of variance with environmental applications
by Zhuo Qu & Wenlin Dai & Marc G. Genton - e2646 Sequential tests of causality between environmental time series: With application to the global warming theory
by Carlo Grillenzoni & Elisa Carraro - e2648 A spatio‐temporal model for the analysis and prediction of fine particulate matter concentration in Beijing
by Yating Wan & Minya Xu & Hui Huang & Song Xi Chen - e2653 A spatial capture–recapture model with attractions between individuals
by Paul McLaughlin & Haim Bar - e2654 Adjusting a finite population block kriging estimator for imperfect detection
by Matt Higham & Jay Ver Hoef & Lisa Madsen & Andy Aderman
December 2020, Volume 31, Issue 8
- e2631 Detecting British Columbia coastal rainfall patterns by clustering Gaussian processes
by F. Paton & P.D. McNicholas - e2642 Bayesian nonparametric monotone regression
by Ander Wilson & Jessica Tryner & Christian L'Orange & John Volckens - e2643 Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution
by Duncan Lee & Chris Robertson & Colin Ramsay & Kate Pyper - e2644 A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA
by C. Forlani & S. Bhatt & M. Cameletti & E. Krainski & M. Blangiardo - e2645 Functional estimation of diversity profiles
by Francesca Fortuna & Stefano Antonio Gattone & Tonio Di Battista
November 2020, Volume 31, Issue 7
- e2627 Space‐time autoregressive estimation and prediction with missing data based on Kalman filtering
by Leonardo Padilla & Bernado Lagos‐Álvarez & Jorge Mateu & Emilio Porcu - e2628 A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
by Felipe Tagle & Marc G. Genton & Andrew Yip & Suleiman Mostamandi & Georgiy Stenchikov & Stefano Castruccio - e2629 Ensemble forecasting of the Zika space‐time spread with topological data analysis
by Marwah Soliman & Vyacheslav Lyubchich & Yulia R. Gel - e2630 An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data
by Marc Aerts & Matthew W. Wheeler & José Cortiñas Abrahantes - e2632 On modeling positive continuous data with spatiotemporal dependence
by Moreno Bevilacqua & Christian Caamaño‐Carrillo & Carlo Gaetan - e2647 Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
by Adelchi Azzalini - e2649 Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
by Andrew Zammit‐Mangion - e2650 Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
by Sándor Baran - e2651 Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
by Emilio Porcu & Jonas Rysgaard & Valerie Eveloy - e2659 Rejoinder to the discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
by Felipe Tagle & Marc G. Genton & Andrew Yip & Suleiman Mostamandi & Georgiy Stenchikov & Stefano Castruccio
September 2020, Volume 31, Issue 6
- e2615 Bayesian estimation and model selection of a multivariate smooth transition autoregressive model
by Glen Livingston Jr & Darfiana Nur - e2618 A lattice and random intermediate point sampling design for animal movement
by Elizabeth Eisenhauer & Ephraim Hanks - e2623 Incorporating covariate information in the covariance structure of misaligned spatial data
by Esmail Yarali & Firoozeh Rivaz - e2625 A sample coordination method to monitor totals of environmental variables
by Xin Zhao & Anton Grafström - e2652 Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation
by Ashton Wiens & Douglas Nychka & William Kleiber
August 2020, Volume 31, Issue 5
- e2616 Predicting extreme surges from sparse data using a copula‐based hierarchical Bayesian spatial model
by N. Beck & C. Genest & J. Jalbert & M. Mailhot - e2619 Modeling the duration and size of extended attack wildfires as dependent outcomes
by Dexen DZ. Xi & C.B. Dean & Stephen W. Taylor - e2621 Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland
by John O'Sullivan & Conor Sweeney & Andrew C. Parnell - e2624 Flexible covariate representations for extremes
by E. Zanini & E. Eastoe & M. J. Jones & D. Randell & P. Jonathan - e2626 Heatwave duration: Characterizations using probabilistic inference
by Sohini Raha & Sujit K. Ghosh
June 2020, Volume 31, Issue 4
- e2608 Bayesian spatial analysis of hardwood tree counts in forests via MCMC
by Reihaneh Entezari & Patrick E. Brown & Jeffrey S. Rosenthal - e2609 Modeling sea‐level processes on the U.S. Atlantic Coast
by Candace Berrett & William F. Christensen & Stephan R. Sain & Nathan Sandholtz & David W. Coats & Claudia Tebaldi & Hedibert F. Lopes - e2610 Spatiotemporal reconstructions of global CO2‐fluxes using Gaussian Markov random fields
by Unn Dahlén & Johan Lindström & Marko Scholze - e2611 A permutation approach to the analysis of spatiotemporal geochemical data in the presence of heteroscedasticity
by Veronika Římalová & Alessandra Menafoglio & Alessia Pini & Vilém Pechanec & Eva Fišerová - e2613 Hidden Markov random field models applied to color homogeneity evaluation in dyed textile images
by Victor Freguglia & Nancy L. Garcia & Juliano L. Bicas - e2614 Probabilistic predictive principal component analysis for spatially misaligned and high‐dimensional air pollution data with missing observations
by Phuong T. Vu & Timothy V. Larson & Adam A. Szpiro
May 2020, Volume 31, Issue 3
- e2602 A multivariate spatial skew‐t process for joint modeling of extreme precipitation indexes
by Arnab Hazra & Brian J. Reich & Ana‐Maria Staicu - e2603 Estimating population size with imperfect detection using a parametric bootstrap
by Lisa Madsen & Dan Dalthorp & Manuela Maria Patrizia Huso & Andy Aderman - e2604 Nonlinear reaction–diffusion process models improve inference for population dynamics
by Xinyi Lu & Perry J. Williams & Mevin B. Hooten & James A. Powell & Jamie N. Womble & Michael R. Bower - e2605 Space–time trends and dependence of precipitation extremes in North‐Western Germany
by R. Cabral & A. Ferreira & P. Friederichs - e2606 Bayesian inference for finite populations under spatial process settings
by Alec M. Chan‐Golston & Sudipto Banerjee & Mark S. Handcock - e2607 Goodness‐of‐fit tests for βARMA hydrological time series modeling
by Vinícius T. Scher & Francisco Cribari‐Neto & Guilherme Pumi & Fábio M. Bayer
March 2020, Volume 31, Issue 2
- e2572 Model‐based clustering for noisy longitudinal circular data, with application to animal movement
by M. Ranalli & A. Maruotti - e2578 Spatial cluster detection of regression coefficients in a mixed‐effects model
by Junho Lee & Ying Sun & Howard H. Chang - e2582 Flexible semiparametric generalized Pareto modeling of the entire range of rainfall amount
by P. Tencaliec & A.‐C. Favre & P. Naveau & C. Prieur & G. Nicolet - e2594 Spatio‐Temporal data fusion for massive sea surface temperature data from MODIS and AMSR‐E instruments
by Pulong Ma & Emily L. Kang - e2595 Investigating the association between late spring Gulf of Mexico sea surface temperatures and U.S. Gulf Coast precipitation extremes with focus on Hurricane Harvey
by Brook T. Russell & Mark D. Risser & Richard L. Smith & Kenneth E. Kunkel - e2596 Bayesian time‐varying quantile regression to extremes
by Fernando Ferraz Do Nascimento & Marcelo Bourguignon - e2599 Spatio‐temporal classification in point patterns under the presence of clutter
by Marianna Siino & Francisco J. Rodríguez‐Cortés & Jorge Mateu & Giada Adelfio
February 2020, Volume 31, Issue 1
- e2568 Considering long‐memory when testing for changepoints in surface temperature: A classification approach based on the time‐varying spectrum
by Claudie Beaulieu & Rebecca Killick & David Ireland & Ben Norwood - e2570 Changepoint analysis of Klementinum temperature series
by D. Jarušková & J. Antoch - e2576 A nonparametric approach to detecting changes in variance in locally stationary time series
by J.‐L. Chapman & I. A. Eckley & R. Killick - e2577 A conversation with Ian MacNeill
by Venkata K. Jandhyala & Elena N. Naumova - e2580 Trend assessment for daily snow depths with changepoint considerations
by J. Lee & R. Lund & J. Woody & Y. Xu - e2591 A data‐driven approach to detecting change points in linear regression models
by Vyacheslav Lyubchich & Tatiana V. Lebedeva & Jeremy M. Testa - e2593 Multiple change‐point models for time series
by I.B. MacNeill & V.K. Jandhyala & A. Kaul & S.B. Fotopoulos - e2612 Harnessing the power of topological data analysis to detect change points
by Umar Islambekov & Monisha Yuvaraj & Yulia R. Gel - e2617 Structural break analysis for spectrum and trace of covariance operators
by A. Aue & G. Rice & O. Sönmez - e2620 Change‐point methods for environmental monitoring and assessment
by Venkata K. Jandhyala & Yulia Gel
December 2019, Volume 30, Issue 8
- e2569 An additive approximate Gaussian process model for large spatio‐temporal data
by Pulong Ma & Bledar A. Konomi & Emily L. Kang - e2571 Computationally efficient nonstationary nearest‐neighbor Gaussian process models using data‐driven techniques
by B. A. Konomi & A. A. Hanandeh & P. Ma & E. L. Kang - e2573 Error in estimating area‐level air pollution exposures for epidemiology
by Joshua P. Keller & Roger D. Peng - e2575 Model‐based inference of conditional extreme value distributions with hydrological applications
by R. P. Towe & J. A. Tawn & R. Lamb & C. G. Sherlock - e2579 A model for Antarctic surface mass balance and ice core site selection
by Philip A. White & C. Shane Reese & William F. Christensen & Summer Rupper - e2598 Comments on Schoenberg et al. (2003)
by Hamid Ghorbani - e2601 Rejoinder to “Comments on Schoenberg et al. (2003)” by Hamid Ghorbani
by Frederic Paik Schoenberg
November 2019, Volume 30, Issue 7
- e2561 Age‐specific distributed lag models for heat ‐ related mortality
by M. J. Heaton & C. R. Olenick & O. Wilhelmi - e2574 Bayesian spatiotemporal modeling for estimating short‐term exposure to air pollution in Santiago de Chile
by O. Nicolis & M. Díaz & S. K. Sahu & J. C. Marín - e2581 Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near‐road environment
by O. Gilani & V. J. Berrocal & S. A. Batterman - e2592 Multivariate air pollution prediction modeling with partial missingness
by R.M. Boaz & A.B. Lawson & J.L. Pearce - e2597 A Bayesian spatiotemporal model of panel design data: Airborne particle number concentration in Brisbane, Australia
by Sam Clifford & Samantha Low‐Choy & Mandana Mazaheri & Farhad Salimi & Lidia Morawska & Kerrie Mengersen - e2600 Spatio‐environmental modeling for health outcome data
by Andrew B. Lawson & Duncan Lee
September 2019, Volume 30, Issue 6
- e2552 Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model
by J. Swintek & M. Etterson & K. Flynn & R. Johnson - e2562 On spatial conditional extremes for ocean storm severity
by R. Shooter & E. Ross & J. Tawn & P. Jonathan - e2563 Wavelet variances for heavy‐tailed time series
by R. V. Fonseca & D. Mondal & L. Zhang - e2564 Power link functions in an ordinal regression model with Gaussian process priors
by D. Li & X. Wang & D. K. Dey - e2565 Partial characteristics for marked spatial point processes
by M. Eckardt & J. Mateu - e2566 Bayesian inference in natural hazard analysis for incomplete and uncertain data
by A. Smit & A. Stein & A. Kijko
August 2019, Volume 30, Issue 5
- e2550 A periodic mixed linear state‐space model to monthly long‐term temperature data
by M. Costa & M. Monteiro - e2551 Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile
by Carolina Marchant & Víctor Leiva & George Christakos & M. Fernanda Cavieres - e2556 Spatially filtered unconditional quantile regression: Application to a hedonic analysis
by D. Murakami & H. Seya - e2558 Nonseparable covariance models on circles cross time: A study of Mexico City ozone
by P. A. White & E. Porcu - e2559 Bayesian hierarchical nonlinear models for estimating coral growth parameters
by B. Cafarelli & C. Calculli & D. Cocchi - e2560 Nonstationarity in peaks‐over‐threshold river flows: A regional random effects model
by E. F. Eastoe
June 2019, Volume 30, Issue 4
- e2524 Predicting climate types for the Continental United States using unsupervised clustering techniques
by D. Sathiaraj & X. Huang & J. Chen - e2532 Increases in the extreme rainfall events: Using the Weibull distribution
by Sazcha Olivera & Christopher Heard - e2533 Predictability assessment of northeast monsoon rainfall in India using sea surface temperature anomaly through statistical and machine learning techniques
by Yajnaseni Dash & Saroj K. Mishra & Bijaya K. Panigrahi - e2534 Double‐structured sparse multitask regression with application of statistical downscaling
by Yi Li & A. Adam Ding - e2539 Unsupervised space–time clustering using persistent homology
by Umar Islambekov & Yulia R. Gel - e2540 A study of links between the Arctic and the midlatitude jet stream using Granger and Pearl causality
by S. M. Samarasinghe & M. C. McGraw & E. A. Barnes & I. Ebert‐Uphoff - e2543 Estimating precipitation extremes using the log‐histospline
by Whitney K. Huang & Douglas W. Nychka & Hao Zhang - e2546 A likelihood for correlated extreme series
by L. Zhu & X. Liu & R. Lund - e2567 Statistics for climate informatics
by Vyacheslav Lyubchich & Andrew Rhines & Samuel Shen
May 2019, Volume 30, Issue 3
- e2544 An EM‐type approach for classification of bivariate MALDI‐MS data and identification of high fertility markers
by N. L. Garcia & M. Rodrigues‐Motta & K. R. A. Belaz & A. Tata & M. R. França & M. Binelli & M. N. Eberlin - e2545 Spatial models for non‐Gaussian data with covariate measurement error
by Vahid Tadayon & Mahmoud Torabi - e2547 Ocean pollution assessment by integrating physical law and site‐specific data
by Y. Lang & G. Christakos - e2549 Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support
by C. J. Wilkie & C. A. Miller & E. M. Scott & R. A. O'Donnell & P. D. Hunter & E. Spyrakos & A. N. Tyler - e2553 Deep echo state networks with uncertainty quantification for spatio‐temporal forecasting
by Patrick L. McDermott & Christopher K. Wikle
March 2019, Volume 30, Issue 2
- e2501 A circular nonhomogeneous hidden Markov field for the spatial segmentation of wildfire occurrences
by Jose Ameijeiras‐Alonso & Francesco Lagona & Monia Ranalli & Rosa M. Crujeiras - e2502 Estimating tree diversity in forest ecosystems by two‐phase inventories
by P. Corona & L. Fattorini & S. Franceschi & M. Marcheselli & C. Pisani & U. Chiavetta & N. Puletti - e2503 Non‐Gaussian autoregressive processes with Tukey g‐and‐h transformations
by Yuan Yan & Marc G. Genton - e2508 Assessing models for estimation and methods for uncertainty quantification for spatial return levels
by Yi Cao & Bo Li - e2522 Spatiotemporal modeling of hydrological return levels: A quantile regression approach
by Maria Franco‐Villoria & Marian Scott & Trevor Hoey - e2528 Statistical harmonization and uncertainty assessment in the comparison of satellite and radiosonde climate variables
by F. Finazzi & A. Fassò & F. Madonna & I. Negri & B. Sun & M. Rosoldi - e2548 Measuring heterogeneity in urban expansion via spatial entropy
by L. Altieri & D. Cocchi & G. Roli - e2554 Editorial of special issue on statistics for climate change and the environment
by Alessandro Fassò & Ayesha Ali
February 2019, Volume 30, Issue 1
- e2529 A Bayesian spatial hierarchical model for extreme precipitation in Great Britain
by Paul Sharkey & Hugo C. Winter - e2530 Bayesian model–data synthesis with an application to global glacio‐isostatic adjustment
by Z. Sha & J. C. Rougier & M. Schumacher & J. L. Bamber - e2535 A point process analysis of cloud‐to‐ground lightning strikes in urban and rural Oklahoma areas
by Irma Hernandez‐Magallanes & Marc G. Genton - e2541 A model for the directional evolution of severe ocean storms
by S. Tendijck & E. Ross & D. Randell & P. Jonathan - e2542 A spatio‐temporal approach to estimate patterns of climate change
by M. P. Laurini - e2555 Axially symmetric models for global data: A journey between geostatistics and stochastic generators
by E. Porcu & S. Castruccio & A. Alegría & P. Crippa
December 2018, Volume 29, Issue 8
- e2523 Remote effects spatial process models for modeling teleconnections
by Joshua Hewitt & Jennifer A. Hoeting & James M. Done & Erin Towler - e2525 Adaptive predictive principal components for modeling multivariate air pollution
by Maitreyee Bose & Timothy Larson & Adam A. Szpiro - e2531 Model aggregation using optimal transport and applications in wind speed forecasting
by G. I. Papayiannis & G. N. Galanis & A. N. Yannacopoulos - e2536 Linear regression with left‐censored covariates and outcome using a pseudolikelihood approach
by Michael P. Jones - e2537 Real‐time PM2.5 mapping and anomaly detection from AirBoxes in Taiwan
by G. Huang & L.‐J. Chen & W.‐H. Hwang & S. Tzeng & H.‐C. Huang - e2538 A large‐scale spatio‐temporal binomial regression model for estimating seroprevalence trends
by Stella C. Watson Self & Christopher S. McMahan & Derek A. Brown & Robert B. Lund & Jenna R. Gettings & Michael J. Yabsley
November 2018, Volume 29, Issue 7
- e2509 Local real‐time forecasting of ozone exposure using temperature data
by Xinyi Lu & Alan E. Gelfand & David M. Holland - e2510 Estimation of the multivariate conditional tail expectation for extreme risk levels: Illustration on environmental data sets
by Elena Di Bernardino & Clémentine Prieur - e2519 A calibration capture–recapture model for inferring natural gas leak population characteristics using data from Google Street View cars
by Zachary D. Weller & Jennifer A. Hoeting & Joseph C. von Fischer - e2520 The poly‐log Weibull model applied to space‐time interpolation of temperature
by A. L. Mota & M. S. De Lima & F. N. Demarqui & L. H. Duczmal - e2526 Semiparametric Bayesian joint modeling of clustered binary and continuous outcomes with informative cluster size in developmental toxicity assessment
by Beom Seuk Hwang & Michael L. Pennell - e2527 Erratum: Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies
by Matthew Strand
August 2018, Volume 29, Issue 5-6
- e2447 Bivariate geostatistical modelling of the relationship between Loa loa prevalence and intensity of infection
by Emanuele Giorgi & Daniela K. Schlüter & Peter J. Diggle - e2451 Applications of random search methods to foraging in ecological environments and other natural phenomena–A review
by Venkata K. Jandhyala & Stergios B. Fotopoulos - e2453 Estimating environment impacts on housing prices
by José‐María Montero & Gema Fernández‐Avilés & Román Mínguez - e2455 Riding down the Bay: Space‐time clustering of ecological trends
by Xin Huang & Iliyan R. Iliev & Vyacheslav Lyubchich & Yulia R. Gel - e2457 Fractional Gaussian noise: Prior specification and model comparison
by Sigrunn Holbek Sørbye & Håvard Rue - e2458 Gaussian likelihood inference on data from trans‐Gaussian random fields with Matérn covariance function
by Yuan Yan & Marc G. Genton - e2460 Inferring ice thickness from a glacier dynamics model and multiple surface data sets
by Yawen Guan & Murali Haran & David Pollard - e2463 Testing for local structure in spatiotemporal point pattern data
by Marianna Siino & Francisco J. Rodríguez‐Cortés & Jorge Mateu & Giada Adelfio - e2478 Bayesian inference in time‐varying additive hazards models with applications to disease mapping
by A. Chernoukhov & A. Hussein & S. Nkurunziza & D. Bandyopadhyay - e2486 A window on The International Environmetrics Society: The first 25 international conferences
by S. R. Esterby - e2506 Celebrating the 25th International Conference of The International Environmetrics Society
by Abdel H. El‐Shaarawi
June 2018, Volume 29, Issue 4
- e2498 Partial stratification in two‐sample capture–recapture experiments
by W. A. Lasantha Premarathna & Carl James Schwarz & Thomas S. Jones - e2499 Spatial regression with an informatively missing covariate: Application to mapping fine particulate matter
by Neal S. Grantham & Brian J. Reich & Yang Liu & Howard H. Chang - e2500 Modeling continuous time series with many zeros and an application to earthquakes
by Y. Wang & T. Wang & J. Zhuang - e2504 Modeling the health effects of time‐varying complex environmental mixtures: Mean field variational Bayes for lagged kernel machine regression
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