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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
2014, Volume 25, Issue 8
- 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 - i-iii Issue Information
by Peter Guttorp & Walter W. Piegorsch
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
2014, Volume 25, Issue 6
- 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 - i-iii Issue Information
by Haiganoush K. Preisler
2014, Volume 25, Issue 5
- 293-305 Using covariates to model dependence in nonstationary, high‐frequency meteorological processes
by Andrew Poppick & Michael L. Stein - 306-323 Spatial sampling on streams: principles for inference on aquatic networks
by Nicholas A. Som & Pascal Monestiez & Jay M. Ver Hoef & Dale L. Zimmerman & Erin E. Peterson - 324-340 A Bayesian hierarchical model for forecasting intermountain snow dynamics
by James B. Odei & Jürgen Symanzik & Mevin B. Hooten - 341-350 Spatiotemporal modeling of odds of disease
by Mahmoud Torabi - 351-360 Probability weighted indices for improved ecosystem report card scoring
by David R. Fox - 361-362 The log‐power‐normal distribution is the exponentiated lognormal distribution
by S. Nadarajah & E. Afuecheta & S. Chan
2014, Volume 25, Issue 4
- 201-202 Physical‐statistical modelling
by Petra Kuhnert & Petra Kuhnert - 203-213 A statistical overview and perspectives on data assimilation for marine biogeochemical models
by Petra Kuhnert & Michael Dowd & Emlyn Jones & John Parslow - 214-229 Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef
by Petra Kuhnert & D.E. Pagendam & P.M. Kuhnert & W.B. Leeds & C.K. Wikle & R. Bartley & E.E. Peterson - 230-244 Physically motivated scale interaction parameterization in reduced rank quadratic nonlinear dynamic spatio‐temporal models
by Petra Kuhnert & D.W. Gladish & C.K. Wikle - 245-264 Resolving the Antarctic contribution to sea‐level rise: a hierarchical modelling framework
by Petra Kuhnert & Andrew Zammit‐Mangion & Jonathan Rougier & Jonathan Bamber & Nana Schön - 265-278 Rethinking soil carbon modelling: a stochastic approach to quantify uncertainties
by Petra Kuhnert & D. Clifford & D. Pagendam & J. Baldock & N. Cressie & R. Farquharson & M. Farrell & L. Macdonald & L. Murray - 279-291 Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations
by Petra Kuhnert & V.J. Berrocal & A.E. Gelfand & D.M. Holland - i-iii Issue Information
by Petra Kuhnert
2014, Volume 25, Issue 3
- 143-151 Assessing the dependency between the magnitudes of earthquakes and the magnitudes of their aftershocks
by Kevin Nichols & Frederic Paik Schoenberg - 152-164 Probabilistic forecasts of solar irradiance using stochastic differential equations
by E. B. Iversen & J. M. Morales & J. K. Møller & H. Madsen - 165-171 Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of São Paulo, Brazil
by A. P. Alencar & B. R. Santos - 172-188 Non‐stationary conditional extremes of northern North Sea storm characteristics
by P. Jonathan & K. Ewans & D. Randell - 189-199 A hidden renewal model for monitoring aquatic systems biosensors
by R. Azaïs & R. Coudret & G. Durrieu
2014, Volume 25, Issue 2
- 69-83 Covariate‐based cepstral parameterizations for time‐varying spatial error covariances
by D.W. Gladish & C.K. Wikle & S.H. Holan - 84-96 Space‐time areal mixture model: relabeling algorithm and model selection issues
by M. M. Hossain & A. B. Lawson & B. Cai & J. Choi & J. Liu & R. S. Kirby - 97-106 Defining a new parameter for regression models with aggregated data in aquatic science
by Peter H. Dimberg - 107-126 Small sample inference for gamma parameters: one‐sample and two‐sample problems
by K. Krishnamoorthy & Luis León‐Novelo - 127-141 A stabilized and versatile spatial prediction method for geostatistical models
by Chun‐Shu Chen & Hong‐Ding Yang & Yang Li
2013, Volume 24, Issue 7
- 433-448 Reversible jump MCMC for inference in a deterministic individual–based model of tree growth for studying forest dynamics
by D. Gemoets & Jarrett Barber & Kiona Ogle - 449-460 A comparison of the Mantel test with a generalised distance covariance test
by Marek Omelka & Šárka Hudecová - 461-475 The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting
by Inmaculada Martinez‐Zarzoso & Antonello Maruotti - 476-488 Reducing the uncertainty of wildlife population abundance: model‐based versus design‐based estimates
by Edwige Bellier & Pascal Monestiez & Grégoire Certain & Joel Chadœuf & Vincent Bretagnolle - 489-499 Modelling biological regions from multi‐species and environmental data
by S.D. Foster & G.H. Givens & G.J. Dornan & P.K. Dunstan & R. Darnell
2013, Volume 24, Issue 6
- 367-376 Wind speed modeled as an indexed semi‐Markov process
by Guglielmo D'Amico & Filippo Petroni & Flavio Prattico - 377-386 Bayesian spatial design of optimal deep tube well locations in Matlab, Bangladesh
by Joshua L. Warren & Carolina Perez‐Heydrich & Mohammad Yunus - 387-399 Bayesian stable isotope mixing models
by Andrew C. Parnell & Donald L. Phillips & Stuart Bearhop & Brice X. Semmens & Eric J. Ward & Jonathan W. Moore & Andrew L. Jackson & Jonathan Grey & David J. Kelly & Richard Inger - 400-406 The case of arsenic contamination in the Sardinian Geopark, Italy, analyzed using symbolic machine learning
by Germana Manca & Guido Cervone - 407-417 A comparison of adaptive sampling designs and binary spatial models : a simulation study using a census of Bromus inermis
by Kathryn M. Irvine & Jamie Thornton & Vickie M. Backus & Matthew G. Hohmann & Erik A. Lehnhoff & Bruce D. Maxwell & Kurt Michels & Lisa J. Rew - 418-432 Spatial extreme value analysis to project extremes of large‐scale indicators for severe weather
by Eric Gilleland & Barbara G. Brown & Caspar M. Ammann
2013, Volume 24, Issue 5
- 279-280 In Memory of George Casella
by Linda J. Young & Linda J. Young & Walter W. Piegorsch & Peter Guttorp - 281-288 Bayesian inference about odds ratio structure in ordinal contingency tables
by Linda J. Young & M. Kateri & A. Agresti - 289-297 Uncertainty due to low‐dose extrapolation: modified BMD methodology for epidemiological data
by Linda J. Young & Melissa Whitney & Louise Ryan - 298-305 Statistical modeling of changes in relative sea level in Maine during the Holocene Era
by Linda J. Young & N. S. Altman & G. Balco & C. Crainiceanu & W. R. Gehrels & J. Qiu & J. Staudenmayer & P. Sullivan - 306-316 When are two pieces better than one: fitting and testing OLS and RMA regressions
by Linda J. Young & Jane Friedman & Andrew J. Bohonak & Richard A. Levine - 317-331 Analyzing first flowering event data using survival models with space and time‐varying covariates
by Linda J. Young & Maria A. Terres & Alan E. Gelfand & Jenica M. Allen & John A. Silander - 332-341 Diagnostics to assess toxicokinetic–toxicodynamic models with interval‐censored data
by Linda J. Young & X. Xu & P. M. Dixon & Y. Zhao & M. C. Newman - 342-356 A consistent on‐line Bayesian procedure for detecting change points
by Linda J. Young & Elías Moreno & F. Javier Girón & Antonio García–Ferrer - 357-366 A Bayesian multivariate analysis of children's exposure to pesticides
by Linda J. Young & N. Cressie & M. Morara & B. Buxton & N. McMillan & W. Strauss & N. Wilson - i-iii Issue Information
by Linda J. Young
2013, Volume 24, Issue 4
- 209-226 On detecting non‐monotonic trends in environmental time series: a fusion of local regression and bootstrap
by Vyacheslav Lyubchich & Yulia R. Gel & Abdel El‐Shaarawi - 227-236 Detection of malfunctions in sensor networks
by Maryam Alavi–Shoshtari & David E. Williams & Jennifer A. Salmond & Jari P. Kaipio - 237-247 Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models
by Jouni Helske & Jukka Nyblom & Petri Ekholm & Kristian Meissner - 248-259 Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates
by J. Ärje & S. Kärkkäinen & T. Turpeinen & K. Meissner - 260-268 Anthropogenic global warming hypothesis: testing its robustness by Granger causality analysis
by Umberto Triacca & Alessandro Attanasio & Antonello Pasini - 269-277 Weighted principal component analysis for compositional data: application example for the water chemistry of the Arno river (Tuscany, central Italy)
by M. Gallo & A. Buccianti
2013, Volume 24, Issue 3
- 143-157 Information‐theoretic model‐averaged benchmark dose analysis in environmental risk assessment
by Walter W. Piegorsch & Lingling An & Alissa A. Wickens & R. Webster West & Edsel A. Peña & Wensong Wu - 158-171 Geostatistical analysis of binomial data: generalised linear or transformed Gaussian modelling?
by Michelle C. Stanton & Peter J. Diggle - 172-179 A hierarchical functional data analytic approach for analyzing physiologically based pharmacokinetic models
by Siddhartha Mandal & Pranab K. Sen & Shyamal D. Peddada - 180-188 Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing
by Mahmoud Torabi - 189-200 Bayesian nonstationary spatial modeling for very large datasets
by Matthias Katzfuss - 201-207 Partial ranked set sampling design
by Abdul Haq & Jennifer Brown & Elena Moltchanova & Amer Ibrahim Al‐Omari
2013, Volume 24, Issue 2
- 63-80 Impact of misspecifying spatial exposures in a generalized additive modeling framework: with application to the study of the dynamics of Comandra blister rust in British Columbia
by C. X. Feng & C. B. Dean & Richard Reich - 81-97 Data assimilation for large‐scale spatio‐temporal systems using a location particle smoother
by Jonathan Briggs & Michael Dowd & Renate Meyer - 98-108 Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA
by Chongyang Jin & Jun Zhu & Michelle M. Steen‐Adams & Stephan R. Sain & Ronald E. Gangnon - 109-119 Space‐time modelling of blue ling for fisheries stock management
by Nicole H. Augustin & Verena M. Trenkel & Simon N. Wood & Pascal Lorance - 120-131 Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
by Anton Grafström & Yves Tillé - 132-142 A Bayesian multiple imputation method for handling longitudinal pesticide data with values below the limit of detection
by Haiying Chen & Sara A. Quandt & Joseph G. Grzywacz & Thomas A. Arcury
2013, Volume 24, Issue 1
- 1-12 Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators
by W. B. Leeds & C. K. Wikle & J. Fiechter & J. Brown & R. F. Milliff - 13-21 Estimating the probability of widespread flood events
by Caroline Keef & Jonathan A. Tawn & Rob Lamb - 22-30 Bayesian inference in measurement error models for replicated data
by Mário Castro & Heleno Bolfarine & M. Galea - 31-40 Modeling spatiotemporal trends in the productivity of North Pacific Salmon
by Oksana Chkrebtii & Jiguo Cao - 41-50 Characteristic pattern analysis of polybromodiphenyl ethers in Great Lakes sediments: a combination of eigenspace projection and positive matrix factorization analysis
by Yonghong Zou & Erik R. Christensen & An Li - 51-62 Particle filtering for Gumbel‐distributed daily maxima of methane and nitrous oxide
by Gwladys Toulemonde & Armelle Guillou & Philippe Naveau
2012, Volume 23, Issue 8
- 637-637 Modern quantitative methods for environmental risk assessment
by Lelys Bravo Guenni & Susan J. Simmons & Lelys Bravo Guenni & Susan J. Simmons - 638-648 Bayesian spatial extreme value analysis to assess the changing risk of concurrent high temperatures across large portions of European cropland
by Lelys Bravo Guenni & Susan J. Simmons & Benjamin A. Shaby & Brian J. Reich - 649-662 Spatial modeling for risk assessment of extreme values from environmental time series: a Bayesian nonparametric approach
by Lelys Bravo Guenni & Susan J. Simmons & Athanasios Kottas & Ziwei Wang & Abel Rodríguez - 663-672 Risk management against extremes in a changing environment: a risk‐layer approach using copulas
by Lelys Bravo Guenni & Susan J. Simmons & Stefan Hochrainer‐Stigler & Georg Pflug - 673-684 Bayesian spatial–temporal model for cardiac congenital anomalies and ambient air pollution risk assessment
by Lelys Bravo Guenni & Susan J. Simmons & Joshua Warren & Montserrat Fuentes & Amy Herring & Peter Langlois - 685-695 Functional clustering of water quality data in Scotland
by Lelys Bravo Guenni & Susan J. Simmons & R.A. Haggarty & C.A. Miller & E.M. Scott & F. Wyllie & M. Smith - 696-705 Estimating brood‐specific reproductive inhibition potency in aquatic toxicity testing
by Lelys Bravo Guenni & Susan J. Simmons & Jing Zhang & A. John Bailer & James T. Oris - 706-716 The impact of model uncertainty on benchmark dose estimation
by Lelys Bravo Guenni & Susan J. Simmons & R. Webster West & Walter W. Piegorsch & Edsel A. Peña & Lingling An & Wensong Wu & Alissa A. Wickens & Hui Xiong & Wenhai Chen - 717-728 Nonparametric estimation of benchmark doses in environmental risk assessment
by Lelys Bravo Guenni & Susan J. Simmons & Walter W. Piegorsch & Hui Xiong & Rabi N. Bhattacharya & Lizhen Lin - 729-737 Ecological Risk‐O‐Meter: a risk assessor and manager software tool for better decision making in ecosystems
by Lelys Bravo Guenni & Susan J. Simmons & Mehmet Sahinoglu & Susan J. Simmons & Lawrence B. Cahoon & Scott Morton - i-iii Issue Information
by Lelys Bravo Guenni & Susan J. Simmons
2012, Volume 23, Issue 7
- 565-578 On the effect of preferential sampling in spatial prediction
by Alan E. Gelfand & Sujit K. Sahu & David M. Holland - 579-594 Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction
by Petra Friederichs & Thordis L. Thorarinsdottir - 595-605 Fast inversion of a flexible regression model for multivariate pollen counts data
by Michael Salter‐Townshend & John Haslett - 606-616 Evaluation of space–time point process models using super‐thinning
by Robert Alan Clements & Frederic Paik Schoenberg & Alejandro Veen - 617-622 An index for climate change: a multivariate time series approach
by Francisco Andrés Rincón - 623-635 Descriptive and predictive evaluation of high resolution Markov chain precipitation models
by H. J. D. Sørup & H. Madsen & K. Arnbjerg‐Nielsen - 636-636 An erratum on comments on Aboueissa and Stoline (2004, 2006) and Aboueissa (2009)
by Igor Kovasov
2012, Volume 23, Issue 6
- 493-508 Joint analysis of multivariate spatial count and zero‐heavy count outcomes using common spatial factor models
by C.X. Feng & C.B. Dean - 509-521 A region‐based hierarchical model for extreme rainfall over the UK, incorporating spatial dependence and temporal trend
by Jonathan Atyeo & David Walshaw - 522-534 A model for spatio‐temporal clustering using multinomial probit regression: application to avalanche counts
by A. Lavigne & L. Bel & E. Parent & N. Eckert - 535-548 Estimation of the spatial distribution through the kernel indicator variogram
by Pilar García‐Soidán & Raquel Menezes - 549-564 Rainfall–runoff modeling using least squares support vector machines
by Umut Okkan & Zafer Ali Serbes
2012, Volume 23, Issue 5
- 363-363 Advances in statistical methods for climate analysis
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Peter Guttorp & Stephan R. Sain & Christopher K. Wikle - 364-372 Statistical problems in the probabilistic prediction of climate change
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & David B. Stephenson & Matthew Collins & Jonathan C. Rougier & Richard E. Chandler - 373-381 Building trust in climate science: data products for the 21st century
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Richard E. Chandler & Peter Thorne & Jay Lawrimore & Kate Willett - 382-393 Glyph‐maps for visually exploring temporal patterns in climate data and models
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Hadley Wickham & Heike Hofmann & Charlotte Wickham & Dianne Cook - 394-406 Defining spatial comparison metrics for evaluation of paleoclimatic field reconstructions of the Common Era
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Bo Li & Jason E. Smerdon - 407-419 Changepoint detection in daily precipitation data
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Colin Gallagher & Robert Lund & Michael Robbins - 420-439 An investigation of the pineapple express phenomenon via bivariate extreme value theory
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Grant B. Weller & Daniel S. Cooley & Stephan R. Sain - 440-450 Assessing variance components of general circulation model output fields
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Reinhard Furrer & Steven Geinitz & Stephan R. Sain - 451-465 Joint projections of North Pacific sea surface temperature from different global climate models
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Francisco Beltrán & Bruno Sansó & Ricardo T. Lemos & Roy Mendelssohn - 466-481 Bayesian state space models with time‐varying parameters: interannual temperature forecasting
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Yongku Kim & L. Mark Berliner - 482-492 Regional climate model assessment using statistical upscaling and downscaling techniques
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Veronica J. Berrocal & Peter F. Craigmile & Peter Guttorp - i-iii Issue Information
by Peter Guttorp & Stephan R. Sain & Christopher K. Wikle
2012, Volume 23, Issue 4
- 285-294 Robust permutation tests for homogeneity of fingerprint patterns of dioxin congener profiles
by Chu‐Chih Chen & Pranab K. Sen & Kuen‐Yuh Wu - 295-305 Threshold models for river flow extremes
by Olivia Grigg & Jonathan Tawn - 306-316 Partial systematic adaptive cluster sampling
by Arthur L. Dryver & Urairat Netharn & David R. Smith - 317-328 Bivariate splines for ozone concentration forecasting
by Bree Ettinger & Serge Guillas & Ming‐Jun Lai - 329-344 Statistical methods for estimating the environmental burden of disease in Canada, with applications to mortality from fine particulate matter
by Ahmed Almaskut & Patrick J. Farrell & Daniel Krewski - 345-362 Inferring likelihoods and climate system characteristics from climate models and multiple tracers
by K. Sham Bhat & Murali Haran & Roman Olson & Klaus Keller
2012, Volume 23, Issue 3
- 207-218 A hierarchical zero‐inflated Poisson regression model for stream fish distribution and abundance
by E.L. Boone & B. Stewart‐Koster & M.J. Kennard - 219-227 Bivariate generalized Pareto distribution in practice: models and estimation
by Pál Rakonczai & András Zempléni - 228-237 Estimating constrained concentration–response functions between air pollution and health
by Helen Powell & Duncan Lee & Adrian Bowman - 238-252 Velocities of a spatial–temporal stochastic field with embedded dynamics
by Krzysztof Podgórski & Jörg Wegener - 253-271 Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content
by Magne Aldrin & Marit Holden & Peter Guttorp & Ragnhild Bieltvedt Skeie & Gunnar Myhre & Terje Koren Berntsen - 272-283 Estimating return levels from serially dependent extremes
by Lee Fawcett & David Walshaw
2012, Volume 23, Issue 2
- 129-147 Spatial prediction of soil organic carbon from data on large and variable spatial supports. I. Inventory and mapping
by T. G. Orton & N. P. A. Saby & D. Arrouays & C. Walter & B. Lemercier & C. Schvartz & R. M. Lark - 148-161 Spatial prediction of soil organic carbon from data on large and variable spatial supports. II. Mapping temporal change
by T.G. Orton & N.P.A. Saby & D. Arrouays & C. Walter & B. Lemercier & C. Schvartz & R.M. Lark - 162-174 A two‐stage model for incidence and prevalence in point‐level spatial count data
by Virginia Recta & Murali Haran & James L. Rosenberger - 175-182 Spatial analysis of the risk of multiple cancers in relation to a petrochemical plant
by Crescenza Calculli & Alessio Pollice & Maria Serinelli - 183-196 Semiparametric bivariate zero‐inflated Poisson models with application to studies of abundance for multiple species
by Ali Arab & Scott H. Holan & Christopher K. Wikle & Mark L. Wildhaber - 197-205 Conditional likelihood approach for analyzing single visit abundance survey data in the presence of zero inflation and detection error
by Péter Sólymos & Subhash Lele & Erin Bayne
2012, Volume 23, Issue 1
- 1-2 Recent advances in spatio‐temporal stochastic modelling
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Wenceslao González‐Manteiga & Rosa M. Crujeiras - 3-11 Testing for space–time interaction in conditional autoregressive models
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & M.D. Ugarte & T. Goicoa & J. Etxeberria & A.F. Militino - 12-23 A group lasso approach for non‐stationary spatial–temporal covariance estimation
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Nan‐Jung Hsu & Ya‐Mei Chang & Hsin‐Cheng Huang - 24-36 Spatio‐temporal metamodeling for West African monsoon
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Anestis Antoniadis & Céline Helbert & Clémentine Prieur & Laurence Viry - 37-45 Optimal design for detecting dependencies with an application in spatial ecology
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Werner G. Müller & Juan M. Rodríguez‐Díaz & María J. Rivas López - 46-53 Circular conditional autoregressive modeling of vector fields
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Danny Modlin & Montserrat Fuentes & Brian Reich - 54-64 Adjusted functional boxplots for spatio‐temporal data visualization and outlier detection
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Ying Sun & Marc G. Genton - 65-74 In order to make spatial statistics computationally feasible, we need to forget about the covariance function
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Daniel Simpson & Finn Lindgren & Håvard Rue - 75-84 Categorical structured additive regression for assessing habitat suitability in the spatial distribution of mussel seed abundance
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & M. P. Pata & T. Kneib & C. Cadarso‐Suárez & V. Lustres‐Pérez & E. Fernández‐Pulpeiro - 85-93 Nonparametric methods for spatial regression. An application to seismic events
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Mario Francisco‐Fernández & Alejandro Quintela‐del‐Río & Rubén Fernández‐Casal - 94-107 Bayesian hierarchical spatio‐temporal smoothing for very large datasets
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Matthias Katzfuss & Noel Cressie - 108-118 Spatial threshold exceedance analysis through marked point processes
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & A.E. Madrid & J.M. Angulo & J. Mateu - 119-128 Spatial functional prediction from spatial autoregressive Hilbertian processes
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & M. D. Ruiz‐Medina - 1-3 Issue Information
by Wenceslao González‐Manteiga & Rosa M. Crujeiras