Environmetrics
2012 - 2025
From John Wiley & Sons, Ltd.
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Volume 33, issue 8, 2022
- Mechanistic spatial models for heavy metal pollution
- Wilson J. Wright, Peter N. Neitlich, Alyssa E. Shiel and Mevin B. Hooten
- Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐19
- Giovanna Jona Lasinio, Fabio Divino, Gianfranco Lovison, Marco Mingione, Pierfrancesco Alaimo Di Loro, Alessio Farcomeni and Antonello Maruotti
- Modeling the spatial evolution wildfires using random spread process
- Carlos Díaz‐Avalos and Pablo Juan
- Sequential spatially balanced sampling
- Raphaël Jauslin, Bardia Panahbehagh and Yves Tillé
- Record events attribution in climate studies
- Julien Worms and Philippe Naveau
- A vector of point processes for modeling interactions between and within species using capture‐recapture data
- Alex Diana, Eleni Matechou, Jim E. Griffin, Yadvendradev Jhala and Qamar Qureshi
Volume 33, issue 7, 2022
- A note on statistical tests for homogeneities in multivariate extreme value models for block maxima
- Jona Lilienthal, Leandra Zanger, Axel Bücher and Roland Fried
- From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources
- Rosa Maria Di Biase, Lorenzo Fattorini, Sara Franceschi, Mirko Grotti, Nicola Puletti and Piermaria Corona
- Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes
- Lauren Hoskovec, Sheena Martenies, Tori L. Burket, Sheryl Magzamen and Ander Wilson
- Changepoint detection in autocorrelated ordinal categorical time series
- Mo Li and QiQi Lu
- Clustering of bivariate satellite time series: A quantile approach
- Victor Muthama Musau, Carlo Gaetan and Paolo Girardi
- Regression methods for the appearances of extremes in climate data
- Chang Yu, Ondrej Blaha, Michael Kane, Wei Wei, Denise Esserman and Daniel Zelterman
Volume 33, issue 6, 2022
- Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures
- Efrain Velasco‐Bautista, Martin Enrique Romero‐Sanchez and Eulogio Flores‐Ayala
- Practical strategies for generalized extreme value‐based regression models for extremes
- Daniela Castro‐Camilo, Raphaël Huser and Håvard Rue
- Reconstruction of past human land use from pollen data and anthropogenic land cover changes
- Behnaz Pirzamanbein and Johan Lindström
- A flexible extended generalized Pareto distribution for tail estimation
- Philémon Gamet and Jonathan Jalbert
- Nonparametric estimation of variable productivity Hawkes processes
- Frederic Paik Schoenberg
Volume 33, issue 5, 2022
- Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing
- Philip A. White, Durban G. Keeler, Daniel Sheanshang and Summer Rupper
- Mitigating spatial confounding by explicitly correlating Gaussian random fields
- Isa Marques, Thomas Kneib and Nadja Klein
- Continuous model averaging for benchmark dose analysis: Averaging over distributional forms
- Matthew W. Wheeler, Jose Cortiñas Abrahantes, Marc Aerts, Jeffery S. Gift and Jerry Allen Davis
- Two‐phase adaptive cluster sampling with circular field plots
- Wilmer Prentius and Anton Grafström
- Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method
- Matteo Mazziotta and Adriano Pareto
Volume 33, issue 4, 2022
- Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data
- Phuong T. Vu, Adam A. Szpiro and Noah Simon
- Recognizing a spatial extreme dependence structure: A deep learning approach
- Manaf Ahmed, Véronique Maume‐Deschamps and Pierre Ribereau
- Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution
- Silius M. Vandeskog, Thordis L. Thorarinsdottir, Ingelin Steinsland and Finn Lindgren
- A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown
- Guido Fioravanti, Michela Cameletti, Sara Martino, Giorgio Cattani and Enrico Pisoni
- A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data
- Alice B. V. Mello, Maria C. S. Lima and Abraão D. C. Nascimento
Volume 33, issue 3, 2022
- A combined estimate of global temperature
- Peter F. Craigmile and Peter Guttorp
- A nonstationary and non‐Gaussian moving average model for solar irradiance
- Wenqi Zhang, William Kleiber, Bri‐Mathias Hodge and Barry Mather
- Statistical analysis of multi‐day solar irradiance using a threshold time series model
- Carolina Euán, Ying Sun and Brian J. Reich
- Discussion on “A combined estimate of global temperature”
- Fabio Madonna
- Discussion on “A combined estimate of global temperature”
- Andrew Poppick and Michael L. Stein
- Discussion on “A combined estimate of global temperature”
- Alexandra M. Schmidt and Marco A. Rodríguez
- Discussion on “A combined estimate of global temperature”
- Karen A. McKinnon
- Discussion on “A combined estimate of global temperature”
- Peter W. Thorne
- Rejoinder to the discussion on “A combined estimate of global temperature”
- Peter F. Craigmile and Peter Guttorp
Volume 33, issue 2, 2022
- Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods
- Maryna Krylova and Yarema Okhrin
- Modeling cycles and interdependence in irregularly sampled geophysical time series
- Granville Tunnicliffe Wilson, John Haywood and Lynda Petherick
- Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling
- Saint‐Clair Chabert‐Liddell, Pierre Barbillon and Sophie Donnet
- Scalable multiple changepoint detection for functional data sequences
- Trevor Harris, Bo Li and J. Derek Tucker
- Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling
- Birgir Hrafnkelsson, Helgi Sigurdarson, Sölvi Rögnvaldsson, Axel Örn Jansson, Rafael Daníel Vias and Sigurdur M. Gardarsson
Volume 33, issue 1, 2022
- A Dirichlet process model for change‐point detection with multivariate bioclimatic data
- Gianluca Mastrantonio, Giovanna Jona Lasinio, Alessio Pollice, Lorenzo Teodonio and Giulia Capotorti
- Random fields on the hypertorus: Covariance modeling and applications
- Emilio Porcu and Philip A. White
- Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables
- Karine Hagesæther Foss, Gunhild Elisabeth Berget and Jo Eidsvik
- A projection‐based Laplace approximation for spatial latent variable models
- Jaewoo Park and Sangwan Lee
- Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling
- Miryam S. Merk and Philipp Otto
Volume 32, issue 8, 2021
- An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models
- Luigi Spezia, Andy Vinten, Roberta Paroli and Marc Stutter
- Spatial cluster detection with threshold quantile regression
- Junho Lee, Ying Sun and Huixia Judy Wang
- A self‐exciting marked point process model for drought analysis
- Xiaoting Li, Christian Genest and Jonathan Jalbert
- A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures
- Jonathan Boss, Alexander Rix, Yin‐Hsiu Chen, Naveen N. Narisetty, Zhenke Wu, Kelly K. Ferguson, Thomas F. McElrath, John D. Meeker and Bhramar Mukherjee
- A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance
- Soumya Das, Marc G. Genton, Yasser M. Alshehri and Georgiy L. Stenchikov
- A parametric model for distributions with flexible behaviour in both tails
- Michael L. Stein
Volume 32, issue 7, 2021
- On testing for the equality of autocovariance in time series
- Daniel Cirkovic and Thomas J. Fisher
- Spatiotemporal clustering using Gaussian processes embedded in a mixture model
- Jarno Vanhatalo, Scott D. Foster and Geoffrey R. Hosack
- Bayesian variable selection for high‐dimensional rank data
- Can Cui, Susheela P. Singh, Ana‐Maria Staicu and Brian J. Reich
- Generalized least‐squares in dimension expansion method for nonstationary processes
- Shanshan Qin, Bin Sun, Yuehua Wu and Yuejiao Fu
- Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse
- Jieying Jiao, Guanyu Hu and Jun Yan
Volume 32, issue 6, 2021
- On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics
- Joshua S. North, Erin M. Schliep and Christopher K. Wikle
- Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts
- Sándor Baran, Patrícia Szokol and Marianna Szabó
- Bayesian estimation of heterogeneous environments from animal movement data
- Svetlana V. Tishkovskaya and Paul G. Blackwell
- Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models
- Jenni Niku, Francis K. C. Hui, Sara Taskinen and David I. Warton
- Modeling the duration and size of wildfires using joint mixture models
- Dexen D. Z. Xi, Charmaine B. Dean and Stephen W. Taylor
Volume 32, issue 5, 2021
- Identifying meteorological drivers of PM2.5 levels via a Bayesian spatial quantile regression
- Stella W. Self, Christopher S. McMahan and Brook T. Russell
- Flexible nonstationary spatiotemporal modeling of high‐frequency monitoring data
- Christopher J. Geoga, Mihai Anitescu and Michael L. Stein
- Spatial deformation for nonstationary extremal dependence
- Jordan Richards and Jennifer L. Wadsworth
- Comparing estimation of the parameters of distribution of the root density of plants in the presence of outliers
- Mehdi Jabbari Nooghabi
- Benchmark dose risk analysis with mixed‐factor quantal data in environmental risk assessment
- Maria A. Sans‐Fuentes and Walter W. Piegorsch
Volume 32, issue 4, 2021
- Modeling nonstationary extremes of storm severity: Comparing parametric and semiparametric inference
- Evandro Konzen, Cláudia Neves and Philip Jonathan
- Causal inference for quantile treatment effects
- Shuo Sun, Erica E. M. Moodie and Johanna G. Nešlehová
- A unified skew‐normal geostatistical factor model
- Marco Minozzo and Luca Bagnato
- Spatial dependence of extreme seas in the North East Atlantic from satellite altimeter measurements
- R. Shooter, E. Ross, A. Ribal, I. R. Young and P. Jonathan
- High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach
- Lu Zhang, Sudipto Banerjee and Andrew O. Finley
Volume 32, issue 3, 2021
- Data fusion with Gaussian processes for estimation of environmental hazard events
- Xiaoyu Xiong, Benjamin D. Youngman and Theodoros Economou
- Modeling short‐ranged dependence in block extrema with application to polar temperature data
- Brook T. Russell and Whitney K. Huang
- Spatial hierarchical modeling of threshold exceedances using rate mixtures
- Rishikesh Yadav, Raphaël Huser and Thomas Opitz
- Likelihood‐based inference for spatiotemporal data with censored and missing responses
- Katherine A. L. Valeriano, Victor H. Lachos, Marcos O. Prates and Larissa A. Matos
- Fast grid search and bootstrap‐based inference for continuous two‐phase polynomial regression models
- Hyunju Son and Youyi Fong
Volume 32, issue 2, 2021
- A smoothing spline model for multimodal and skewed circular responses: Applications in meteorology and oceanography
- Fatemeh Hassanzadeh
- Simultaneous autoregressive models for spatial extremes
- Miranda J. Fix, Daniel S. Cooley and Emeric Thibaud
- A spatiotemporal model for multivariate occupancy data
- Staci A. Hepler and Robert J. Erhardt
- A parametric model for distributions with flexible behavior in both tails
- Michael L. Stein
- Effects of corona virus disease‐19 control measures on air quality in North China
- Xiangyu Zheng, Bin Guo, Jing He and Song Chen
Volume 32, issue 1, 2021
- Robust functional multivariate analysis of variance with environmental applications
- Zhuo Qu, Wenlin Dai and Marc G. Genton
- Sequential tests of causality between environmental time series: With application to the global warming theory
- Carlo Grillenzoni and Elisa Carraro
- A spatio‐temporal model for the analysis and prediction of fine particulate matter concentration in Beijing
- Yating Wan, Minya Xu, Hui Huang and Song Chen
- A spatial capture–recapture model with attractions between individuals
- Paul McLaughlin and Haim Bar
- Adjusting a finite population block kriging estimator for imperfect detection
- Matt Higham, Jay Ver Hoef, Jakob Madsen and Andy Aderman
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