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Content
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
by Shelley H. Liu & Jennifer F. Bobb & Birgit Claus Henn & Lourdes Schnaas & Martha M. Tellez‐Rojo & Chris Gennings & Manish Arora & Robert O. Wright & Brent A. Coull & Matt P. Wand - e2505 Multivariate left‐censored Bayesian modeling for predicting exposure using multiple chemical predictors
by Caroline P. Groth & Sudipto Banerjee & Gurumurthy Ramachandran & Mark R. Stenzel & Patricia A. Stewart
May 2018, Volume 29, Issue 3
- e2487 Process convolution approaches for modeling interacting trajectories
by Henry R. Scharf & Mevin B. Hooten & Devin S. Johnson & John W. Durban - e2493 Benefits of spatiotemporal modeling for short‐term wind power forecasting at both individual and aggregated levels
by Amanda Lenzi & Ingelin Steinsland & Pierre Pinson - e2494 The new family of Fisher copulas to model upper tail dependence and radial asymmetry: Properties and application to high‐dimensional rainfall data
by Anne‐Catherine Favre & Jean‐François Quessy & Marie‐Hélène Toupin - e2495 Calibrated prediction regions for Gaussian random fields
by Corrado Lagazio & Paolo Vidoni - e2497 Bayesian hierarchical model for variations in earthquake peak ground acceleration within small‐aperture arrays
by Sahar Rahpeyma & Benedikt Halldorsson & Birgir Hrafnkelsson & Sigurjón Jónsson
March 2018, Volume 29, Issue 2
- e2481 Regularized spatial maximum covariance analysis
by Wen‐Ting Wang & Hsin‐Cheng Huang - e2488 Nonparametric estimation of multivariate quantiles
by M. Coblenz & R. Dyckerhoff & O. Grothe - e2490 Distribution and time‐series modelling of ordinal circular data
by J. Jha & A. Biswas - e2491 Assessing the predictive accuracy of earthquake strike angle estimates using nonparametric Hawkes processes
by J. Molyneux & J. S. Gordon & F. P. Schoenberg - e2492 Frequency selection in paleoclimate time series: A model‐based approach incorporating possible time uncertainty
by Peter M. Franke & Brian Huntley & Andrew C. Parnell
February 2018, Volume 29, Issue 1
- e2477 Zero‐inflated multiscale models for aggregated small area health data
by Mehreteab Aregay & Andrew B. Lawson & Christel Faes & Russell S. Kirby & Rachel Carroll & Kevin Watjou - e2482 A first‐order, ratio‐based nonparametric separability test for spatiotemporal point processes
by Isabel Fuentes‐Santos & Wenceslao González‐Manteiga & Jorge Mateu - e2483 Design of monitoring networks using k‐determinantal point processes
by C. M. Casquilho‐Resende & N. D. Le & J. V. Zidek & Y. Wang - e2484 Accounting for uncertainty in source‐specific exposures in the evaluation of health effects of pollution sources on daily cause‐specific mortality
by Eun Sug Park & Man‐Suk Oh - e2485 Estimation and inference in spatially varying coefficient models
by Jingru Mu & Guannan Wang & Li Wang
December 2017, Volume 28, Issue 8
- e2462 A Bayesian semiparametric GLMM for historical and newly collected presence‐only data: An application to species richness of Ross Sea Mollusca
by C. Carota & C. R. Nava & C. Ghiglione & S. Schiaparelli - e2465 Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping
by Andrew B. Lawson & Rachel Carroll & Christel Faes & Russell S. Kirby & Mehreteab Aregay & Kevin Watjou - e2476 An exponential–gamma mixture model for extreme Santa Ana winds
by Gregory P. Bopp & Benjamin A. Shaby - e2479 Improved short‐term point and interval forecasts of the daily maximum tropospheric ozone levels via singular spectrum analysis
by Benjamin Hansen & Kimihiro Noguchi - e2480 The continuous population approach to forest inventories and use of information in the design
by A. Grafström & S. Schnell & S. Saarela & S. P. Hubbell & R. Condit
November 2017, Volume 28, Issue 7
- e2450 A model‐based approach to wildland fire reconstruction using sediment charcoal records
by Malcolm S. Itter & Andrew O. Finley & Mevin B. Hooten & Philip E. Higuera & Jennifer R. Marlon & Ryan Kelly & Jason S. McLachlan - e2459 Group inverse sampling: An economical approach to inverse sampling
by Bardia Panahbehagh & David R. Smith - e2461 Erratum: Two‐stage complete allocation sampling
by Mohammad M. Salehi - e2464 Influence diagnostics in spatial models with censored response
by Víctor H. Lachos & Larissa A. Matos & Thais S. Barbosa & Aldo M. Garay & Dipak K. Dey - e2466 Spatiotemporal multiresolution modeling to infill missing areal data and enhance the temporal frequency of infrared satellite images
by G. Q. Collins & M. J. Heaton & L. Hu & A. J. Monaghan - e2467 Functional inverted Wishart for Bayesian multivariate spatial modeling with application to regional climatology model data
by L. L. Duan & R. D. Szczesniak & X. Wang
September 2017, Volume 28, Issue 6
- e2411 Spatiotemporal models for skewed processes
by Alexandra M. Schmidt & Kelly C. M. Gonçalves & Patrícia L. Velozo - e2430 Comments on: Spatiotemporal models for skewed processes
by Marc G. Genton & Amanda S. Hering - e2435 Discussion of paper: “Spatial‐temporal models for skewed processes”
by Gabriel Huerta & Jonathan Stroud - e2452 Authors' rejoinder to the discussion comments of Genton and Hering, and Huerta and Stroud
by Alexandra M. Schmidt & Kelly C. M. Gonçalves & Patrícia L. Velozo - e2454 Multivariate distribution correction of climate model outputs: A generalization of quantile mapping approaches
by Léonard Dekens & Sylvie Parey & Mathilde Grandjacques & Didier Dacunha‐Castelle - e2456 Sparsity in nonlinear dynamic spatiotemporal models using implied advection
by Robert Alan Richardson
August 2017, Volume 28, Issue 5
- e2445 Goodness‐of‐fit tests for copula‐based spatial models
by Martin Durocher & Jean‐François Quessy - e2446 Modelling imperfect presence data obtained by citizen science
by Kerrie Mengersen & Erin E. Peterson & Samuel Clifford & Nan Ye & June Kim & Tomasz Bednarz & Ross Brown & Allan James & Julie Vercelloni & Alan R. Pearse & Jacqueline Davis & Vanessa Hunter - e2448 Spatially modeling the effects of meteorological drivers of PM2.5 in the Eastern United States via a local linear penalized quantile regression estimator
by Brook T. Russell & Dewei Wang & Christopher S. McMahan - e2449 Nonstationary POT modelling of air pollution concentrations: Statistical analysis of the traffic and meteorological impact
by János Gyarmati‐Szabó & Leonid V. Bogachev & Haibo Chen
June 2017, Volume 28, Issue 4
- e2439 An adaptive kriging method for solving nonlinear inverse statistical problems
by Shuai Fu & Mathieu Couplet & Nicolas Bousquet - e2442 Prediction of plane‐wise turbulent events to the Reynolds stress in a flow over scour‐bed
by Haradhan Maity & Bijoy Singha Mazumder - e2443 Analyzing ozone concentration by Bayesian spatio‐temporal quantile regression
by P. Das & S. Ghosal - e2444 Generalised additive point process models for natural hazard occurrence
by Benjamin D. Youngman & Theodoros Economou
May 2017, Volume 28, Issue 3
- e2431 Robust bivariate error detection in skewed data with application to historical radiosonde winds
by Ying Sun & Amanda S. Hering & Joshua M. Browning - e2437 Model‐based clustering for spatiotemporal data on air quality monitoring
by A. S. M. Cheam & M. Marbac & P. D. McNicholas - e2438 Nonparametric construction of probability maps under local stationarity
by Pilar García‐Soidán & Raquel Menezes - e2440 Modeling joint abundance of multiple species using Dirichlet process mixtures
by Devin S. Johnson & Elizabeth H. Sinclair - e2441 Two‐stage complete allocation sampling
by Mohammad M. Salehi & George A. F. Seber
March 2017, Volume 28, Issue 2
- e2414 Analysis of aggregated functional data from mixed populations with application to energy consumption
by Amanda Lenzi & Camila P.E. de Souza & Ronaldo Dias & Nancy L. Garcia & Nancy E. Heckman - e2428 Directional multivariate extremes in environmental phenomena
by Raúl Torres & Carlo De Michele & Henry Laniado & Rosa E. Lillo - e2429 Fusing multiple existing space‐time land cover products
by Nicolás Rodríguez‐Jeangros & Amanda S. Hering & Timothy Kaiser & John McCray - e2433 Can we weather proof our insurance?
by Vyacheslav Lyubchich & Y. R. Gel - e2434 Flow‐directed PCA for monitoring networks
by K. Gallacher & C. Miller & E. M. Scott & R. Willows & L. Pope & J. Douglass
February 2017, Volume 28, Issue 1
- e2424 On estimation and prediction of geostatistical regression models via a corrected Stein's unbiased risk estimator
by Hong‐Ding Yang & Chun‐Shu Chen - e2425 Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure
by Michael Chipeta & Dianne Terlouw & Kamija Phiri & Peter Diggle - e2426 Missing data imputation for paired stream and air temperature sensor data
by Han Li & Xinwei Deng & Eric Smith - e2427 An anisotropic and inhomogeneous hidden Markov model for the classification of water quality spatio‐temporal series on a national scale: The case of Scotland
by Luigi Spezia & Mark J. Brewer & Christian Birkel - e2432 Applications of hybrid dynamic Bayesian networks to water reservoir management
by Rosa F. Ropero & M. Julia Flores & Rafael Rumí & Pedro A. Aguilera
December 2016, Volume 27, Issue 8
- 454-465 A competitive design‐based spatial predictor
by Alessandro Vagheggini & Francesca Bruno & Daniela Cocchi - 466-478 Spatio‐temporal Bayesian model selection for disease mapping
by Rachel Carroll & Andrew B. Lawson & Christel Faes & Russell S. Kirby & Mehreteab Aregay & Kevin Watjou - 479-493 Fiducial confidence limits and prediction limits for a gamma distribution: Censored and uncensored cases
by Kalimuthu Krishnamoorthy & Xiao Wang - 494-506 Semiparametric single index multi change points model with an application of environmental health study on mortality and temperature
by Hamdy F. F. Mahmoud & Inyoung Kim & Ho Kim - 507-523 A comparison of statistical emulation methodologies for multi‐wave calibration of environmental models
by James M. Salter & Daniel Williamson
November 2016, Volume 27, Issue 7
- 380-395 Variogram calculations for random fields on regular lattices using quadrature methods
by Somak Dutta & Debashis Mondal - 396-408 A spatial‐dependent model for climate emulation
by Jingyu Bao & David J. McInerney & Michael L. Stein - 409-422 A Bayesian multinomial regression model for palaeoclimate reconstruction with time uncertainty
by Liisa Ilvonen & Lasse Holmström & Heikki Seppä & Siim Veski - 423-424 Discussion of “A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty,” by Ilvonen et al
by Peter F. Craigmile - 425-427 Discussion of Illvonen et al. Bayesian palaeoclimate reconstruction with time uncertainty
by John Haslett - 428-430 Discussion on temperature reconstruction with sediment core data in Ilvonen et al
by Bo Li & Luis Barboza & Martin Tingley & Frederi Viens - 431-433 A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty
by Andrew C. Parnell - 434-438 Rejoinder
by Liisa Ilvonen & Lasse Holmstöm & Heikki Seppä & Siim Veski - 439-450 Bayesian inference for nonstationary marginal extremes
by D. Randell & K. Turnbull & K. Ewans & P. Jonathan
September 2016, Volume 27, Issue 6
- 322-333 Hierarchical animal movement models for population‐level inference
by Mevin B. Hooten & Frances E. Buderman & Brian M. Brost & Ephraim M. Hanks & Jacob S. Ivan - 334-344 Modeling the spatial behavior of the meteorological drivers' effects on extreme ozone
by Brook T. Russell & Daniel S. Cooley & William C. Porter & Colette L. Heald - 345-354 Multivariate density estimation for interval‐censored data with application to a forest fire modelling problem
by W. J. Braun & J. E. Stafford - 355-369 Time series clustering using the total variation distance with applications in oceanography
by Pedro C. Alvarez‐Esteban & Carolina Euán & Joaquín Ortega - 370-376 Environmental data analysis based on the gamma distribution: compliance assessment using tolerance limits and exceedance fractions
by Ionut Bebu & Thomas Mathew
August 2016, Volume 27, Issue 5
- 256-266 Assessing annual trends, monthly fluctuations and between‐station relationship of sulphate deposition in the Turkey Lakes Watershed
by Rong Zhu & Abdel H. El‐Shaarawi & Xingde Duan & Zilin Wang & Renjun Ma - 267-279 Comparison between spatio‐temporal random processes and application to climate model data
by Bo Li & Xianyang Zhang & Jason E. Smerdon - 280-292 Censored and shifted gamma distribution based EMOS model for probabilistic quantitative precipitation forecasting
by Sándor Baran & Dóra Nemoda - 293-305 Optimal dynamic spatial sampling
by Martha Bohorquez & Ramon Giraldo & Jorge Mateu - 306-317 Functional measure of ozone exposure to model short‐term health effects
by Maeregu Woldeyes Arisido
June 2016, Volume 27, Issue 4
- 198-211 Testing for seasonal means in time series data
by Gang Liu & Qin Shao & Robert Lund & Jonathan Woody - 212-224 A general procedure for selecting a class of fully symmetric space‐time covariance functions
by S. De Iaco & M. Palma & D. Posa - 225-238 Remote sensing estimates and measures of uncertainty for forest variables at different aggregation levels
by F. Mauro & I. Molina & A. García‐Abril & R. Valbuena & E. Ayuga‐Téllez - 239-251 Spatial modelling framework for the characterisation of rainfall extremes at different durations and under climate change
by Eric A. Lehmann & Aloke Phatak & Alec Stephenson & Rex Lau
May 2016, Volume 27, Issue 3
- 134-146 Horvitz–Thompson whale abundance estimation adjusting for uncertain recapture, temporal availability variation, and intermittent effort
by Geof H. Givens & Stacy L. Edmondson & J. Craig George & Robert Suydam & Russ A. Charif & Ashakur Rahaman & Dean Hawthorne & Barbara Tudor & Robert A. DeLong & Christopher W. Clark - 147-157 Forecasting SO 2 pollution incidents by means of quantile curves based on additive models
by I. Martínez‐Silva & J. Roca‐Pardiñas & C. Ordóñez - 158-168 Estimation of extreme quantiles conditioning on multivariate critical layers
by E. Di Bernardino & F. Palacios‐Rodríguez - 169-181 Analysis of air quality time series of Hong Kong with graphical modeling
by Fei Hu & Zudi Lu & Heung Wong & Tsz P. Yuen - 182-193 New control chart for monitoring and classification of environmental data
by Christian Paroissin & Laura Penalva & Agnès Pétrau & Ghislain Verdier
March 2016, Volume 27, Issue 2
- 70-82 A model‐based approach for analog spatio‐temporal dynamic forecasting
by Patrick L. McDermott & Christopher K. Wikle - 83-89 Practical likelihood analysis for spatial generalized linear mixed models
by Wagner Hugo Bonat & Paulo Justiniano Ribeiro Jr - 90-102 Identifying trends in the spatial errors of a regional climate model via clustering
by V. J. Berrocal