Environmetrics

2012 - 2025

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Volume 30, issue 8, 2019

An additive approximate Gaussian process model for large spatio‐temporal data

Pulong Ma, Bledar A. Konomi and Emily L. Kang

Computationally efficient nonstationary nearest‐neighbor Gaussian process models using data‐driven techniques

B. A. Konomi, A. A. Hanandeh, P. Ma and E. L. Kang

Error in estimating area‐level air pollution exposures for epidemiology

Joshua P. Keller and Roger D. Peng

Model‐based inference of conditional extreme value distributions with hydrological applications

R. P. Towe, J. A. Tawn, R. Lamb and C. G. Sherlock

A model for Antarctic surface mass balance and ice core site selection

Philip A. White, C. Shane Reese, William F. Christensen and Summer Rupper

Comments on Schoenberg et al. (2003)

Hamid Ghorbani

Rejoinder to “Comments on Schoenberg et al. (2003)” by Hamid Ghorbani

Frederic Paik Schoenberg

Volume 30, issue 7, 2019

Age‐specific distributed lag models for heat ‐ related mortality

M. J. Heaton, C. R. Olenick and O. Wilhelmi

Bayesian spatiotemporal modeling for estimating short‐term exposure to air pollution in Santiago de Chile

O. Nicolis, M. Díaz, S. K. Sahu and J. C. Marín

Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near‐road environment

O. Gilani, V. J. Berrocal and S. A. Batterman

Multivariate air pollution prediction modeling with partial missingness

R.M. Boaz, A.B. Lawson and J.L. Pearce

A Bayesian spatiotemporal model of panel design data: Airborne particle number concentration in Brisbane, Australia

Sam Clifford, Samantha Low‐Choy, Mandana Mazaheri, Farhad Salimi, Lidia Morawska and Kerrie Mengersen

Spatio‐environmental modeling for health outcome data

Andrew B. Lawson and Duncan Lee

Volume 30, issue 6, 2019

Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model

J. Swintek, M. Etterson, K. Flynn and R. Johnson

On spatial conditional extremes for ocean storm severity

R. Shooter, E. Ross, J. Tawn and P. Jonathan

Wavelet variances for heavy‐tailed time series

R. V. Fonseca, D. Mondal and L. Zhang

Power link functions in an ordinal regression model with Gaussian process priors

D. Li, X. Wang and D. K. Dey

Partial characteristics for marked spatial point processes

M. Eckardt and J. Mateu

Bayesian inference in natural hazard analysis for incomplete and uncertain data

A. Smit, A. Stein and A. Kijko

Volume 30, issue 5, 2019

A periodic mixed linear state‐space model to monthly long‐term temperature data

M. Costa and M. Monteiro

Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile

Carolina Marchant, Víctor Leiva, George Christakos and M. Fernanda Cavieres

Spatially filtered unconditional quantile regression: Application to a hedonic analysis

D. Murakami and H. Seya

Nonseparable covariance models on circles cross time: A study of Mexico City ozone

P. A. White and E. Porcu

Bayesian hierarchical nonlinear models for estimating coral growth parameters

B. Cafarelli, C. Calculli and D. Cocchi

Nonstationarity in peaks‐over‐threshold river flows: A regional random effects model

E. F. Eastoe

Volume 30, issue 4, 2019

Predicting climate types for the Continental United States using unsupervised clustering techniques

D. Sathiaraj, Xiaoqi Huang and J. Chen

Increases in the extreme rainfall events: Using the Weibull distribution

Sazcha Olivera and Christopher Heard

Predictability assessment of northeast monsoon rainfall in India using sea surface temperature anomaly through statistical and machine learning techniques

Yajnaseni Dash, Saroj K. Mishra and Bijaya K. Panigrahi

Double‐structured sparse multitask regression with application of statistical downscaling

Yi Li and A. Adam Ding

Unsupervised space–time clustering using persistent homology

Umar Islambekov and Yulia R. Gel

A study of links between the Arctic and the midlatitude jet stream using Granger and Pearl causality

S. M. Samarasinghe, M. C. McGraw, E. A. Barnes and I. Ebert‐Uphoff

Estimating precipitation extremes using the log‐histospline

Whitney K. Huang, Douglas W. Nychka and Hao Zhang

A likelihood for correlated extreme series

L. Zhu, X. Liu and R. Lund

Statistics for climate informatics

Vyacheslav Lyubchich, Andrew Rhines and Samuel Shen

Volume 30, issue 3, 2019

An EM‐type approach for classification of bivariate MALDI‐MS data and identification of high fertility markers

N. L. Garcia, M. Rodrigues‐Motta, K. R. A. Belaz, A. Tata, M. R. França, M. Binelli and M. N. Eberlin

Spatial models for non‐Gaussian data with covariate measurement error

Vahid Tadayon and Mahmoud Torabi

Ocean pollution assessment by integrating physical law and site‐specific data

Y. Lang and G. Christakos

Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support

C. J. Wilkie, C. A. Miller, E. M. Scott, R. A. O'Donnell, P. D. Hunter, E. Spyrakos and A. N. Tyler

Deep echo state networks with uncertainty quantification for spatio‐temporal forecasting

Patrick L. McDermott and Christopher K. Wikle

Volume 30, issue 2, 2019

A circular nonhomogeneous hidden Markov field for the spatial segmentation of wildfire occurrences

Jose Ameijeiras‐Alonso, Francesco Lagona, Monia Ranalli and Rosa M. Crujeiras

Estimating tree diversity in forest ecosystems by two‐phase inventories

P. Corona, L. Fattorini, S. Franceschi, M. Marcheselli, C. Pisani, U. Chiavetta and N. Puletti

Non‐Gaussian autoregressive processes with Tukey g‐and‐h transformations

Yuan Yan and Marc G. Genton

Assessing models for estimation and methods for uncertainty quantification for spatial return levels

Yi Cao and Bo Li

Spatiotemporal modeling of hydrological return levels: A quantile regression approach

Maria Franco‐Villoria, Marian Scott and Trevor Hoey

Statistical harmonization and uncertainty assessment in the comparison of satellite and radiosonde climate variables

F. Finazzi, A. Fassò, F. Madonna, I. Negri, B. Sun and M. Rosoldi

Measuring heterogeneity in urban expansion via spatial entropy

L. Altieri, D. Cocchi and G. Roli

Editorial of special issue on statistics for climate change and the environment

Alessandro Fassò and Ayesha Ali

Volume 30, issue 1, 2019

A Bayesian spatial hierarchical model for extreme precipitation in Great Britain

Paul Sharkey and Hugo C. Winter

Bayesian model–data synthesis with an application to global glacio‐isostatic adjustment

Z. Sha, J. C. Rougier, M. Schumacher and J. L. Bamber

A point process analysis of cloud‐to‐ground lightning strikes in urban and rural Oklahoma areas

Irma Hernandez‐Magallanes and Marc G. Genton

A model for the directional evolution of severe ocean storms

S. Tendijck, E. Ross, D. Randell and P. Jonathan

A spatio‐temporal approach to estimate patterns of climate change

Márcio Laurini

Axially symmetric models for global data: A journey between geostatistics and stochastic generators

E. Porcu, S. Castruccio, A. Alegría and P. Crippa