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Content
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 - 103-113 Adaptive cluster sampling for negatively correlated data
by Stefano A. Gattone & Esha Mohamed & Arthur L. Dryver & Ralf T. Münnich - 103-115 Regional extreme value index estimation and a test of tail homogeneity
by Paul Kinsvater & Roland Fried & Jona Lilienthal - 116-130 Mixture EMOS model for calibrating ensemble forecasts of wind speed
by S. Baran & S. Lerch
February 2016, Volume 27, Issue 1
- 4-14 Credible regions for exceedance sets of geostatistical data
by Joshua P. French & Jennifer A. Hoeting - 15-26 Bivariate functional data clustering: grouping streams based on a varying coefficient model of the stream water and air temperature relationship
by H. Li & X. Deng & C. A. Dolloff & E. P. Smith - 27-41 Bayesian prediction of monthly precipitation on a fine grid using covariates based on a regional meteorological model
by A. N. Sigurdarson & B. Hrafnkelsson - 42-54 Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models
by John Tipton & Mevin Hooten & Neil Pederson & Martin Tingley & Daniel Bishop - 55-65 Time series modeling of paleoclimate data
by James E. H. Davidson & David B. Stephenson & Alemtsehai A. Turasie
December 2015, Volume 26, Issue 8
- 515-525 A data fusion approach for spatial analysis of speciated PM 2.5 across time
by Colin W. Rundel & Erin M. Schliep & Alan E. Gelfand & David M. Holland - 526-533 Estimating the transition of individuals between life stages
by T. D. Drezner & Z. Drezner & N. Balakrishnan - 534-544 A hidden Markov model for the analysis of cylindrical time series
by Francesco Lagona & Marco Picone & Antonello Maruotti - 545-556 Assessing the significance of the correlation between the components of a bivariate Gaussian random field
by Moreno Bevilacqua & Ronny Vallejos & Daira Velandia - 557-570 Incorporating spatial and operational constraints in the sampling designs for forest inventories
by Audrey‐Anne Vallée & Bastien Ferland‐Raymond & Louis‐Paul Rivest & Yves Tillé - 571-583 Likelihood ratio tests for comparing several gamma distributions
by Kalimuthu Krishnamoorthy & Meesook Lee & Wang Xiao
November 2015, Volume 26, Issue 7
- 451-462 Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic
by Libo Sun & Chihoon Lee & Jennifer A. Hoeting - 463-476 A criterion for environmental assessment using Birnbaum–Saunders attribute control charts
by Victor Leiva & Carolina Marchant & Fabrizio Ruggeri & Helton Saulo - 477-487 Controlling for unmeasured confounding and spatial misalignment in long‐term air pollution and health studies
by Duncan Lee & Christophe Sarran - 488-501 Estimating trend from seasonal data: is daily, monthly or annual data best?
by Christopher S. Withers & Saralees Nadarajah - 502-513 Nonparametric species richness estimation under convexity constraint
by Cécile Durot & Sylvie Huet & François Koladjo & Stéphane Robin
September 2015, Volume 26, Issue 6
- 383-392 A shared neighbor conditional autoregressive model for small area spatial data
by A.B. Lawson & C. Rotejanaprasert & P. Moraga & J. Choi - 393-405 Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies
by M. Strand & S. Sillau & G. K. Grunwald & N. Rabinovitch - 406-417 Maximum likelihood estimation of the multivariate hidden dynamic geostatistical model with application to air quality in Apulia, Italy
by Crescenza Calculli & Alessandro Fassò & Francesco Finazzi & Alessio Pollice & Annarita Turnone - 418-430 Environmental odor perception: testing regional differences on heterogeneity with application to odor perceptions in the area of Este (Italy)
by R. Arboretti Giancristofaro & S. Bonnini & L. Corain & D. Vidotto - 431-441 Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring
by L. Evers & D. A. Molinari & A. W. Bowman & W. R. Jones & M. J. Spence - 442-450 Distributions of return values for ocean wave characteristics in the South China Sea using directional–seasonal extreme value analysis
by David Randell & Graham Feld & Kevin Ewans & Philip Jonathan
August 2015, Volume 26, Issue 5
- 327-338 Validation and comparison of geostatistical and spline models for spatial stream networks
by A. M. Rushworth & E. E. Peterson & J. M. Ver Hoef & A. W. Bowman - 339-353 Computationally efficient spatial modeling of annual maximum 24‐h precipitation on a fine grid
by Óli P. Geirsson & Birgir Hrafnkelsson & Daniel Simpson - 354-362 Spatio‐temporal functional data analysis for wireless sensor networks data
by D.‐J. Lee & Z. Zhu & P. Toscas - 363-372 Quantile benchmark dose estimation for continuous endpoints
by Matthew W. Wheeler & Kan Shao & A. John Bailer - 373-382 Bayesian benchmark dose analysis
by Q. Fang & W. W. Piegorsch & K. Y. Barnes
June 2015, Volume 26, Issue 4
- 243-254 Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification
by Ephraim M. Hanks & Erin M. Schliep & Mevin B. Hooten & Jennifer A. Hoeting - 255-267 Impact of preferential sampling on exposure prediction and health effect inference in the context of air pollution epidemiology
by A. Lee & A. Szpiro & S.Y. Kim & L. Sheppard - 268-283 Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes
by D. Williamson - 284-297 Regression‐based covariance functions for nonstationary spatial modeling
by Mark D. Risser & Catherine A. Calder - 298-311 Bias correction in estimation of public health risk attributable to short‐term air pollution exposure
by Wesley S. Burr & Glen Takahara & Hwashin H. Shin - 312-325 Local generalised method of moments: an application to point process‐based rainfall models
by Jo M. Kaczmarska & Valerie S. Isham & Paul Northrop
May 2015, Volume 26, Issue 3
- 159-177 Multivariate spatio‐temporal modelling for assessing Antarctica's present‐day contribution to sea‐level rise
by Andrew Zammit‐Mangion & Jonathan Rougier & Nana Schön & Finn Lindgren & Jonathan Bamber - 178-191 Detection of outliers in functional time series
by P. Raña & G. Aneiros & J. M. Vilar - 192-201 Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models
by Scott D. Goddard & Marc G. Genton & Amanda S. Hering & Stephan R. Sain - 202-215 The estimation of diversity indexes by using stratified allocations of plots, points or transects
by L. Barabesi & L. Fattorini & M. Marcheselli & C. Pisani & L. Pratelli - 216-228 Design‐based strategies for sampling spatial units from regular grids with applications to forest surveys, land use, and land cover estimation
by Lorenzo Fattorini & Piermaria Corona & Gherardo Chirici & Maria Chiara Pagliarella - 229-242 Standard error estimation for mixed flood distributions with historic maxima
by John M. Grego & Philip A. Yates & Kaiwen Mai
March 2015, Volume 26, Issue 2
- 67-76 Ratio estimators of the population mean with missing values using ranked set sampling
by A. I. Al‐Omari & C. N. Bouza - 77-88 Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data
by M. Rinaldi & A. Castrignanò & D. De Benedetto & D. Sollitto & S. Ruggieri & P. Garofalo & F. Santoro & B. Figorito & S. Gualano & R. Tamborrino - 89-106 Bayesian hierarchical modeling of extreme hourly precipitation in Norway
by Anita Verpe Dyrrdal & Alex Lenkoski & Thordis L. Thorarinsdottir & Frode Stordal - 107-119 Grain‐size distribution in open channel flow by mixing length approach
by D. Pal & K. Ghoshal - 120-132 Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging
by S. Baran & A. Möller - 133-144 Mid‐twenty‐first‐century projected trends in North American heating and cooling degree days
by R. J. Erhardt - 145-158 Bayesian hidden Markov modelling using circular‐linear general projected normal distribution
by Gianluca Mastrantonio & Antonello Maruotti & Giovanna Jona‐Lasinio
February 2015, Volume 26, Issue 1
- 1-16 Weighted likelihood recapture estimation of detection probabilities from an ice‐based survey of bowhead whales
by Geof H. Givens & Stacy L. Edmondson & J. Craig George & Barbara Tudor & Robert A. DeLong & Robert Suydam - 17-28 An autoregressive model to describe fishing vessel movement and activity
by P. Gloaguen & S. Mahévas & E. Rivot & M. Woillez & J. Guitton & Y. Vermard & M. P. Etienne - 29-38 Gaussian linear state‐space model for wind fields in the North‐East Atlantic
by J. Bessac & P. Ailliot & V. Monbet - 39-51 Mixture of inhomogeneous matrix models for species‐rich ecosystems
by Frédéric Mortier & Dakis‐Yaoba Ouédraogo & Florian Claeys & Mahlet G. Tadesse & Guillaume Cornu & Fidèle Baya & Fabrice Benedet & Vincent Freycon & Sylvie Gourlet‐Fleury & Nicolas Picard - 52-65 Probabilistic methods of analysis for the time series Moran scatterplot quadrant signature
by D. Rohde & J. Corcoran & T. R. McGee & R. Wickes & M. Townsley
December 2014, Volume 25, Issue 8
- 1-1 Issue Information
by Peter Guttorp & Walter W. Piegorsch - 559-559 Environmetrics Silver Anniversary Special Issue
by Peter Guttorp & Walter W. Piegorsch & Walter W. Piegorsch & Peter Guttorp - 560-570 On the impact of covariate measurement error on spatial regression modelling
by Peter Guttorp & Walter W. Piegorsch & Md Hamidul Huque & Howard D. Bondell & Louise Ryan - 571-583 Composite likelihood estimation for models of spatial ordinal data and spatial proportional data with zero/one values
by Peter Guttorp & Walter W. Piegorsch & Xiaoping Feng & Jun Zhu & Pei‐Sheng Lin & Michelle M. Steen‐Adams - 584-595 Assessing fit in Bayesian models for spatial processes
by Peter Guttorp & Walter W. Piegorsch & M. Jun & M. Katzfuss & J. Hu & V. E. Johnson - 596-609 Dynamic spatial regression models for space‐varying forest stand tables
by Peter Guttorp & Walter W. Piegorsch & Andrew O. Finley & Sudipto Banerjee & Aaron R. Weiskittel & Chad Babcock & Bruce D. Cook - 610-620 Modeling individual tree growth by fusing diameter tape and increment core data
by Peter Guttorp & Walter W. Piegorsch & Erin M. Schliep & Tracy Qi Dong & Alan E. Gelfand & Fan Li - 621-629 Statistical modeling and forecasting of fruit crop phenology under climate change
by Peter Guttorp & Walter W. Piegorsch & S. Cai & James V. Zidek & Nathaniel K. Newlands & Denise Neilsen - 630-637 A spatial capture‐recapture model for territorial species
by Peter Guttorp & Walter W. Piegorsch & B. J. Reich & B. Gardner
November 2014, Volume 25, Issue 7
- 483-497 A Bayesian spatial factor analysis approach for combining climate model ensembles
by E.S. Neeley & W.F. Christensen & S.R. Sain - 498-512 Confidence regions for the level curves of spatial data
by Joshua P. French - 513-527 A Bayesian multivariate receptor model for estimating source contributions to particulate matter pollution using national databases
by Amber J. Hackstadt & Roger D. Peng - 528-547 HAC robust trend comparisons among climate series with possible level shifts
by Ross R. McKitrick & Timothy J. Vogelsang - 548-556 Utility and application of SEM in delineating cause–effect relationship between ambient pollutant and fetal birth outcome
by A. K. Mbah & A. Paothong & R. E. Wilson & H. M. Salihu - 557-557 Erratum: Using covariates to model dependence in nonstationary, high frequency meteorological processes
by Andrew Poppick & Michael L. Stein
September 2014, Volume 25, Issue 6
- 1-1 Issue Information
by Haiganoush K. Preisler - 363-364 Special Issue on Wildland Fires
by Haiganoush K. Preisler & Haiganoush K. Preisler - 365-383 Combining ungrouped and grouped wildfire data to estimate fire risk
by Haiganoush K. Preisler & I. Hernandez‐Magallanes - 384-396 Wildfire risk estimation in the Mediterranean area
by Haiganoush K. Preisler & A. A. Ager & H. K. Preisler & B. Arca & D. Spano & M. Salis - 397-405 County‐level analysis of the impact of temperature and population increases on California wildfire data
by Haiganoush K. Preisler & M. Baltar & J. E. Keeley & F. P. Schoenberg - 406-416 Lightning‐caused forest fire risk in Northwestern Ontario, Canada, is increasing and associated with anomalies in fire weather
by Haiganoush K. Preisler & Douglas G. Woolford & C.B. Dean & David L. Martell & Jiguo Cao & B.M. Wotton - 417-430 Visualization tools for assessing the Markov property: sojourn times in the forest Fire Weather Index in Ontario
by Haiganoush K. Preisler & Alisha Albert‐Green & W. John Braun & David L. Martell & Douglas G. Woolford - 431-442 Dionysus: a stochastic fire growth scenario generator
by Haiganoush K. Preisler & Lengyi Han & W. John Braun - 443-453 An exploratory data analysis of the temperature fluctuations in a spreading fire
by Haiganoush K. Preisler & David R. Brillinger & Mark A. Finney - 454-471 Scenarios for future wildfire risk in California: links between changing demography, land use, climate, and wildfire
by Haiganoush K. Preisler & Benjamin P. Bryant & Anthony L. Westerling - 472-481 Burning issues: statistical analyses of global fire data to inform assessments of environmental change
by Haiganoush K. Preisler & M. A. Krawchuk & M. A. Moritz
August 2014, Volume 25, Issue 5
- 293-305 Using covariates to model dependence in nonstationary, high‐frequency meteorological processes
by Andrew Poppick & Michael L. Stein