Christopher K. Wikle

发表

Cell identification and verification of QPF ensembles using shape analysis techniques

Athanasios C. Micheas, Neil I. Fox, Steven A. Lack, 2007 .

Descriptive Spatio-Temporal Statistical Models

Noel A Cressie, Christopher K. Wikle, Andrew Zammit-Mangion, 2019 .

Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2018, Journal of Time Series Analysis.

Science-based parameterizations for dynamical spatiotemporal models

Christopher K. Wikle, William B. Leeds, 2012 .

Winds from a Bayesian Hierarchical Model: Computation for Atmosphere-Ocean Research

Douglas W. Nychka, L. Mark Berliner, Christopher K. Wikle, 2003 .

Low-Rank Representations for Spatial Processes

Christopher K. Wikle, C. Wikle, 2010 .

Optimal spatio-temporal hybrid sampling designs for ecological monitoring

Mevin B. Hooten, Christopher K. Wikle, Steven L. Sheriff, 2009 .

Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data

Christopher K. Wikle, Patrick L. McDermott, C. Wikle, 2017, Entropy.

Hierarchical Models for Uncertainty Quantification: An Overview

Christopher K. Wikle, C. Wikle, 2016 .

A Bayesian Adaptive Ensemble Kalman Filter for Sequential State and Parameter Estimation

Christopher K. Wikle, Matthias Katzfuss, Jonathan R. Stroud, 2016, 1611.03835.

Hierarchical Modeling with Spatial Data

Christopher K. Wikle, C. Wikle, 2010 .

Semiparametric bivariate zero‐inflated Poisson models with application to studies of abundance for multiple species

Christopher K. Wikle, Scott H. Holan, Ali Arab, 2011, 1105.3169.

Providing distributed forecasts of precipitation using a Bayesian nowcast scheme

Neil I. Fox, Christopher K. Wikle, 2005 .

Dynamic design of ecological monitoring networks for non‐Gaussian spatio‐temporal data

J. Andrew Royle, Christopher K. Wikle, C. Wikle, 2005 .

Strategies for dynamic space-time statistical modeling: discussion of "The Kriged Kalman filter" by Mardia et al.

Noel A Cressie, Christopher K. Wikle, 1998 .

Assessing First-Order Emulator Inference for Physical Parameters in Nonlinear Mechanistic Models

Mevin B. Hooten, Christopher K. Wikle, William B. Leeds, 2011 .

Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2015, 1502.01974.

Design and Analysis of Long-term Ecological Monitoring Studies: Optimal spatio-temporal monitoring designs for characterizing population trends

Mevin B. Hooten, Christopher K. Wikle, Beth E. Ross, 2012 .

Guest Editor’s Introduction to the Special Issue on “Modern Dimension Reduction Methods for Big Data Problems in Ecology”

Mevin B. Hooten, Christopher K. Wikle, Scott H. Holan, 2013 .

Efficient statistical mapping of avian count data

J. Andrew Royle, Christopher K. Wikle, C. Wikle, 2005, Environmental and Ecological Statistics.

Space-Time Change of Support [R package stcos version 0.3.0]

Jonathan R. Bradley, Christopher K. Wikle, Andrew M. Raim, 2020 .

Ecological Prediction With Nonlinear Multivariate Time-Frequency Functional Data Models

Christopher K. Wikle, Scott H. Holan, Mark L. Wildhaber, 2013 .

Climatological analysis of tornado report counts using a hierarchical Bayesian spatiotemporal model

Christopher K. Wikle, Christopher J. Anderson, C. Wikle, 2003 .

A multi-surrogate higher-order singular value decomposition tensor emulator for spatio-temporal simulators

Christopher K. Wikle, Giri Gopalan, 2020 .

Exploring Spatio-Temporal Data

Noel A Cressie, Christopher K. Wikle, Andrew Zammit-Mangion, 2019, Spatio-Temporal Statistics with R.

Atmospheric Modeling, Data Assimilation, and Predictability

Christopher K. Wikle, C. Wikle, 2005, Technometrics.

Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data

Christopher K. Wikle, C. Wikle, 2019, Journal of Agricultural, Biological and Environmental Statistics.

Modern Statistical Methods in Oceanography: A Hierarchical Perspective

Christopher K. Wikle, Radu Herbei, William B. Leeds, 2013, 1312.5904.

BAYESIAN IRT MODELS INCORPORATING GENERAL AND SPECIFIC ABILITIES

Yanyan Sheng, Christopher K. Wikle, 2009 .

Statistics for Spatio-Temporal Data

Noel A Cressie, Christopher K. Wikle, N. Cressie, 2011 .

A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove

Mevin B. Hooten, Christopher K. Wikle, M. Hooten, 2008, Environmental and Ecological Statistics.

Adaptively tuned particle swarm optimization with application to spatial design

Christopher K. Wikle, Scott H. Holan, Matthew Simpson, 2017 .

Spatio-Temporal Change of Support with Application to American Community Survey Multi-Year Period Estimates

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2015 .

Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds

L. Mark Berliner, Doug Nychka, Christopher K. Wikle, 2001 .

Bayesian Estimation of Stochastic Parameterizations in a Numerical Weather Forecasting Model

Steven A. Lack, Christopher K. Wikle, Yong Song, 2007 .

Rejoinder on: A general science-based framework for dynamical spatio-temporal models

Mevin B. Hooten, Christopher K. Wikle, M. Hooten, 2010 .

A Bayesian Quantitative Precipitation Nowcast Scheme

Neil I. Fox, Christopher K. Wikle, C. Wikle, 2005 .

Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model

Mevin B. Hooten, Christopher K. Wikle, David R. Larsen, 2003, Landscape Ecology.

Bayesian Inverse Reinforcement Learning for Collective Animal Movement pdf

Mevin B. Hooten, Christopher K. Wikle, Toryn L. J. Schafer, 2020, ArXiv.

Semiparametric Dynamic Design of Monitoring Networks for Non‐Gaussian Spatio‐Temporal Data

Christopher K. Wikle, Scott H. Holan, C. Wikle, 2012 .

Evaluating Spatio-Temporal Statistical Models

Noel A Cressie, Christopher K. Wikle, Andrew Zammit-Mangion, 2019 .

‘Bayesian source detection and parameter estimation of a plume model based on sensor network measurements’ by C. Huang et al.: Discussion 2

Christopher K. Wikle, Scott H. Holan, 2010 .

An ensemble quadratic echo state network for non‐linear spatio‐temporal forecasting

Christopher K. Wikle, Patrick L. McDermott, C. Wikle, 2017, 1708.05094.

Introduction to Spatio-Temporal Statistics

Noel A Cressie, Christopher K. Wikle, Andrew Zammit-Mangion, 2019, Spatio-Temporal Statistics with R.

NCRN Meeting Spring 2015: Models for Multiscale Spatially-Referenced Count Data

Jonathan R. Bradley, Christopher K. Wikle, Scott Holan, 2015 .

Space: Time Dynamic Design of Environmental Monitoring Networks

J. Andrew Royle, Christopher K. Wikle, C. Wikle, 1999 .

Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models

Christopher K. Wikle, Matthias Katzfuss, Jonathan R. Stroud, 2017, Journal of the American Statistical Association.

Combining Information Across Spatial Scales

L. Mark Berliner, Christopher K. Wikle, L. M. Berliner, 2005, Technometrics.

Space-time Kalman filter

Christopher K. Wikle, Noel A Cressie, N. Cressie, 2014 .

Ecological Impacts of Climate Change: the Importance of Temporal and Spatial Synchrony

Christopher K. Wikle, C. Wikle, 2017 .

Modern perspectives on statistics for spatio‐temporal data

Christopher K. Wikle, C. Wikle, 2015 .

Spatial fay-herriot models for small area estimation with functional covariates

Noel Cressie, Christopher K. Wikle, Scott H. Holan, 2013, 1303.6668.

Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators

Christopher K. Wikle, William B. Leeds, Ralph F. Milliff, 2013 .

Multiresolution Wavelet Analyses in Hierarchical Bayesian Turbulence Models

Christopher K. Wikle, Ralph F. Milliff, L. M. Berliner, 1999 .

Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing

Christopher K. Wikle, Scott H. Holan, Harrison Quick, 2015, 1507.05529.

Spatio-temporal change of support modeling with R

Jonathan R. Bradley, Christopher K. Wikle, Andrew M. Raim, 2019 .

A Bayesian Markov Model with Pólya-Gamma Sampling for Estimating Individual Behavior Transition Probabilities from Accelerometer Classifications

Christopher K. Wikle, Mitch D. Weegman, Toryn L.J. Schafer, 2019 .

Hierarchical Spatial Models

Mevin B. Hooten, Christopher K. Wikle, Ali Arab, 2008, Encyclopedia of GIS.

Zeros and ones: a case for suppressing zeros in sensitive count data with an application to stroke mortality

Christopher K. Wikle, Scott H. Holan, Harrison Quick, 2015 .

A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Parameters for High-Frequency Data from Wearable Devices.

Christopher K. Wikle, Erin M. Schliep, Shirley Rojas-Salazar, 2020, 2010.10739.

Long-Lead Prediction of Pacific SSTs via Bayesian Dynamic Modeling

Noel A Cressie, L. Mark Berliner, Christopher K. Wikle, 2000 .

Bayesian semiparametric hierarchical empirical likelihood spatial models

Christopher K. Wikle, Scott H. Holan, Aaron T. Porter, 2014, 1405.3880.

Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting pdf

Christopher K. Wikle, Andrew Zammit Mangion, 2019, ArXiv.

A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities

Ke Xu, Neil I. Fox, Christopher K. Wikle, 2005 .

Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes

Christopher K. Wikle, C. Wikle, 2003 .

Multivariate spatio-temporal models for high-dimensional areal data with application to Longitudinal Employer-Household Dynamics

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2015, 1503.00982.

Computational Statistics Handbook With MATLAB

Christopher K. Wikle, 2004 .

A model‐based approach for analog spatio‐temporal dynamic forecasting

Christopher K. Wikle, Patrick L. McDermott, C. Wikle, 2015, 1506.06169.

Space-time statistical modeling of environmental data

Noel A Cressie, Christopher K. Wikle, 2000 .

Hierarchical Spatial Models

Mevin B. Hooten, Christopher K. Wikle, Ali Arab, 2017, Encyclopedia of GIS.

Spatio-Temporal Statistics with R

Noel A Cressie, Christopher K. Wikle, Andrew Zammit-Mangion, 2019 .

Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2014, 1405.7227.

Modeling Hydrologic Change: Statistical Methods

Christopher K. Wikle, C. Wikle, 2003, Technometrics.

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

Christopher K. Wikle, Patrick L. McDermott, C. Wikle, 2018, Environmetrics.

Spatio-Temporal Statistical Models

Noel A Cressie, Christopher K. Wikle, Andrew Zammit-Mangion, 2019 .

Correcting spatial Gaussian process parameter and prediction variance estimation under informative sampling

Christopher K. Wikle, Erin M. Schliep, Ranadeep Daw, 2021, 2108.12354.

Vizumap: an R package for visualising uncertainty in spatial data

Christopher K. Wikle, Petra M. Kuhnert, Lydia R. Lucchesi, 2021, J. Open Source Softw..

Spatio-temporal change of support modeling with R

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2019, Computational Statistics.

A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Parameters for High-Frequency Environmental Data

Stephen R. Carpenter, Christopher K. Wikle, Erin M. Schliep, 2021 .

A Higher-Order Singular Value Decomposition Tensor Emulator for Spatiotemporal Simulators

Christopher K. Wikle, Giri Gopalan, 2021 .

Modeling Dependence in Spatio-Temporal Econometrics

Christopher K. Wikle, Noel Cressie, N. Cressie, 2021, Advances in Contemporary Statistics and Econometrics.

Mixed Effects Modeling for Areal Data that Exhibit Multivariate-Spatio-Temporal Dependencies

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2014, 1407.7479.

Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2017 .

Bayesian hierarchical modeling of air-sea interaction

L. Mark Berliner, Christopher K. Wikle, Ralph F. Milliff, 2003 .

The Variance-Based Cross-Variogram: You Can Add Apples and Oranges

Noel A Cressie, Christopher K. Wikle, 1998 .

Comparing Multiunidimensional and Unidimensional Item Response Theory Models

Yanyan Sheng, Christopher K. Wikle, C. Wikle, 2007 .

Ocean ensemble forecasting. Part I: Ensemble Mediterranean winds from a Bayesian hierarchical model

L. Mark Berliner, Christopher K. Wikle, Ralph F. Milliff, 2011 .

Ocean ensemble forecasting. Part II: Mediterranean Forecast System response

L. Mark Berliner, Christopher K. Wikle, Ralph F. Milliff, 2011 .

Estimation of Parameterized Spatio-Temporal Dynamic Models

Christopher K. Wikle, C. Wikle, Ke Xu, 2007 .

Surface Wind Variability on Spatial Scales from 1 to 1000 km Observed during TOGA COARE

Christopher K. Wikle, Ralph F. Milliff, C. Wikle, 1999 .

A Hierarchical Spatial Model for Constructing Wind Fields from Scatterometer Data in the Labrador Sea

J. Andrew Royle, Christopher K. Wikle, Ralph F. Milliff, 1999 .

Population Influences on Tornado Reports in the United States

J. Andrew Royle, Christopher K. Wikle, C. Wikle, 2007 .

Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef

Erin E. Peterson, Christopher K. Wikle, William B. Leeds, 2014 .

Hierarchical Bayesian Spatio-Temporal Models for Population Spread

Mevin B. Hooten, Christopher K. Wikle, M. Hooten, 2006 .

A Kernel-Based Spectral Approach for Spatiotemporal Dynamic Models

Christopher K. Wikle, 2002 .

Hierarchical Bayesian Approach to Boundary Value Problems with Stochastic Boundary Conditions

L. Mark Berliner, Christopher K. Wikle, Ralph F. Milliff, 2003 .

Bayesian Multidimensional IRT Models With a Hierarchical Structure

Christopher K. Wikle, C. Wikle, Yanyan Sheng, 2008 .

Zero-Inflated Modeling of Fish Catch per Unit Area Resulting from Multiple Gears: Application to Channel Catfish and Shovelnose Sturgeon in the Missouri River

Christopher K. Wikle, Mark L. Wildhaber, C. Wikle, 2008 .

Random set modelling of three-dimensional objects in a hierarchical Bayesian context

Athanasios C. Micheas, Christopher K. Wikle, David R. Larsen, 2014 .

Spatio-temporal statistical models with applications to atmospheric processes

Christopher K. Wikle, C. Wikle, 1996 .

Seasonal variation of upper tropospheric and lower stratospheric equatorial waves over the tropical Pacific

Christopher K. Wikle, Tsing-Chang Chen, R. A. Madden, 1997 .

Shifts in the spatio-temporal growth dynamics of shortleaf pine

Mevin B. Hooten, Christopher K. Wikle, M. Hooten, 2007, Environmental and Ecological Statistics.

Physically motivated scale interaction parameterization in reduced rank quadratic nonlinear dynamic spatio‐temporal models

Christopher K. Wikle, D. W. Gladish, C. Wikle, 2014 .

Identifying periodic components in atmospheric data using a family of minimum variance spectral estimators

Christopher K. Wikle, Peter J. Sherman, Tsing-Chang Chen, 1995 .

A Bayesian hierarchical downscaling model for south‐west Western Australia rainfall

Bryson C. Bates, Christopher K. Wikle, Yong Song, 2014 .

Emulator-assisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes

Christopher K. Wikle, William B. Leeds, Jerome Fiechter, 2014 .

NCRN Meeting Spring 2015: Regionalization of Multiscale Spatial Processes Using a Criterion for Spatial Aggregation Error

Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan, 2015 .

Hierarchical Nonlinear Spatio-temporal Agent-Based Models for Collective Animal Movement

Joshua J. Millspaugh, Christopher K. Wikle, Patrick L. McDermott, 2017, Journal of Agricultural, Biological and Environmental Statistics.

Hierarchical Bayesian Spatio-Temporal Conway–Maxwell Poisson Models with Dynamic Dispersion

Christopher K. Wikle, Scott H. Holan, Guohui Wu, 2013 .