Devin S. Johnson

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All published works
Action Title Year Authors
+ Incorporating telemetry information into capture‐recapture analyses improves precision and accuracy of abundance estimates given spatiotemporally biased recapture effort 2024 Janelle J. Badger
Devin S. Johnson
Robin W. Baird
Amanda L. Bradford
Michaela A. Kratofil
Sabre D. Mahaffy
Erin M. Oleson
+ Geostatistical capture–recapture models 2024 Mevin B. Hooten
Michael R. Schwob
Devin S. Johnson
Jacob S. Ivan
+ PDF Chat Multistage hierarchical capture–recapture models 2023 Mevin B. Hooten
Michael R. Schwob
Devin S. Johnson
Jacob S. Ivan
+ PDF Chat Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling 2022 Devin S. Johnson
Brian M. Brost
Mevin B. Hooten
+ Probing for Multilingual Numerical Understanding in Transformer-Based Language Models 2020 Devin S. Johnson
Denise Mak
D. J. Barker
Lexi Loessberg-Zahl
+ Probing for Multilingual Numerical Understanding in Transformer-Based Language Models 2020 Devin S. Johnson
Denise Mak
Andrew Barker
Lexi Loessberg-Zahl
+ Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling 2020 Devin S. Johnson
Brian M. Brost
Mevin B. Hooten
+ Probing for Multilingual Numerical Understanding in Transformer-Based Language Models 2020 Devin S. Johnson
Denise Mak
Drew Barker
Lexi Loessberg-Zahl
+ PDF Chat Making Recursive Bayesian Inference Accessible 2019 Mevin B. Hooten
Devin S. Johnson
Brian M. Brost
+ Making Recursive Bayesian Inference Accessible 2018 Mevin B. Hooten
Devin S. Johnson
Brian M. Brost
+ Prior-Proposal Recursive Bayesian Inference 2018 Mevin B. Hooten
Devin S. Johnson
Brian M. Brost
+ A guide to Bayesian model checking for ecologists 2018 Paul B. Conn
Devin S. Johnson
Perry J. Williams
Sharon R. Melin
Mevin B. Hooten
+ PDF Chat Process convolution approaches for modeling interacting trajectories 2018 Henry R. Scharf
Mevin B. Hooten
Devin S. Johnson
John W. Durban
+ Making Recursive Bayesian Inference Accessible 2018 Mevin B. Hooten
Devin S. Johnson
Brian M. Brost
+ A guide to Bayesian model checking for ecologists 2017 Paul B. Conn
Devin S. Johnson
Perry J. Williams
Sharon R. Melin
Mevin B. Hooten
+ A guide to Bayesian model checking for ecologists 2017 Paul B. Conn
Devin S. Johnson
Perry J. Williams
Sharon R. Melin
Mevin B. Hooten
+ PDF Chat Imputation Approaches for Animal Movement Modeling 2017 Henry R. Scharf
Mevin B. Hooten
Devin S. Johnson
+ Imputation Approaches for Animal Movement Modeling 2017 Henry R. Scharf
Mevin B. Hooten
Devin S. Johnson
+ Point Process Models 2017 Mevin B. Hooten
Devin S. Johnson
Brett T. McClintock
Juan M. Morales
+ Statistics for Temporal Data 2017 Mevin B. Hooten
Devin S. Johnson
Brett T. McClintock
Juan M. Morales
+ Modeling joint abundance of multiple species using Dirichlet process mixtures 2017 Devin S. Johnson
Elizabeth H. Sinclair
+ Imputation Approaches for Animal Movement Modeling 2017 Henry R. Scharf
Mevin B. Hooten
Devin S. Johnson
+ Process convolution approaches for modeling interacting trajectories 2017 Henry R. Scharf
Mevin B. Hooten
Devin S. Johnson
John W. Durban
+ Dynamic social networks based on movement 2016 Henry R. Scharf
Mevin B. Hooten
Bailey K. Fosdick
Devin S. Johnson
Josh M. London
John W. Durban
+ PDF Chat Basis Function Models for Animal Movement 2016 Mevin B. Hooten
Devin S. Johnson
+ PDF Chat Modeling Joint Abundance of Multiple Species Using Dirichlet Process Random Effects 2016 Devin S. Johnson
Elizabeth H. Sinclair
+ Basis Function Models for Nonstationary Continuous-Time Trajectories 2016 Mevin B. Hooten
Devin S. Johnson
+ Basis Function Models for Animal Movement 2016 Mevin B. Hooten
Devin S. Johnson
+ Basis Function Models for Animal Movement 2016 Mevin B. Hooten
Devin S. Johnson
+ Appendix A. Detailed description of the implementation of the model in the kfdnm R package. 2016 Joshua H. Schmidt
Devin S. Johnson
Mark S. Lindberg
Layne G. Adams
+ Appendix A. Gibbs sampling for estimating spatiotemporal abundance from survey counts. 2016 Paul B. Conn
Devin S. Johnson
Jay M. Ver Hoef
Mevin B. Hooten
Josh M. London
Peter L. Boveng
+ Appendix A. Figure for the number of surveys per site and figures of additional predictive occupancy maps. 2016 Kristin Broms
Devin S. Johnson
Res Altwegg
Loveday L. Conquest
+ Dynamic social networks based on movement 2015 Henry R. Scharf
Mevin B. Hooten
Bailey K. Fosdick
Devin S. Johnson
Josh M. London
John W. Durban
+ PDF Chat Estimating demographic parameters using a combination of known‐fate and open <i>N</i>‐mixture models 2015 Joshua H. Schmidt
Devin S. Johnson
Mark S. Lindberg
Layne G. Adams
+ Dynamic social networks based on movement 2015 Henry R. Scharf
Mevin B. Hooten
Bailey K. Fosdick
Devin S. Johnson
Josh M. London
John W. Durban
+ Hidden Markov Model for Dependent Mark Loss and Survival Estimation 2014 Jeffrey L. Laake
Devin S. Johnson
Duane R. Diefenbach
Mark A. Ternent
+ marked: an R package for maximum likelihood and <scp>M</scp>arkov <scp>C</scp>hain <scp>M</scp>onte <scp>C</scp>arlo analysis of capture–recapture data 2013 Jeff Laake
Devin S. Johnson
Paul B. Conn
+ Properties of graphical regression models for multidimensional categorical data 2011 Devin S. Johnson
Jennifer A. Hoeting
+ PDF Chat A General Bayesian Hierarchical Model for Estimating Survival of Nests and Young 2010 Joshua H. Schmidt
Johann Walker
Mark S. Lindberg
Devin S. Johnson
Scott E. Stephens
+ Biological Monitoring: A Bayesian Model for Multivariate Compositional Data 2006 Devin S. Johnson
Jennifer A. Hoeting
N. LeRoy Poff
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Hierarchical animal movement models for population‐level inference 2016 Mevin B. Hooten
Frances E. Buderman
Brian M. Brost
Ephraim M. Hanks
Jacob S. Ivan
8
+ Sampling-Based Approaches to Calculating Marginal Densities 1990 Alan E. Gelfand
A. F. M. Smith
7
+ Continuous-time discrete-space models for animal movement 2015 Ephraim M. Hanks
Mevin B. Hooten
Mat W. Alldredge
6
+ PDF Chat Gaussian Predictive Process Models for Large Spatial Data Sets 2008 Sudipto Banerjee
Alan E. Gelfand
Andrew O. Finley
Huiyan Sang
5
+ Space and Space-Time Modeling using Process Convolutions 2002 Dave Higdon
5
+ PDF Chat Covariance Tapering for Interpolation of Large Spatial Datasets 2006 Reinhard Furrer
Marc G. Genton
Douglas Nychka
5
+ PDF Chat Basis Function Models for Animal Movement 2016 Mevin B. Hooten
Devin S. Johnson
5
+ Bayesian Analysis of Binary and Polychotomous Response Data 1993 James H. Albert
Siddhartha Chib
5
+ Dynamic social networks based on movement 2016 Henry R. Scharf
Mevin B. Hooten
Bailey K. Fosdick
Devin S. Johnson
Josh M. London
John W. Durban
4
+ Reversible jump Markov chain Monte Carlo computation and Bayesian model determination 1995 Peter J. Green
4
+ PDF Chat A Multi-Resolution Approximation for Massive Spatial Datasets 2016 Matthias Katzfuß
4
+ Bayesian Inference in Gaussian Model-based Geostatistics 2002 Peter J. Diggle
Paulo Justiniano Ribeiro
4
+ PDF Chat The basis function approach for modeling autocorrelation in ecological data 2016 Trevor J. Hefley
Kristin Broms
Brian M. Brost
Frances E. Buderman
Shannon L. Kay
Henry R. Scharf
John Tipton
Perry J. Williams
Mevin B. Hooten
4
+ PDF Chat <i>N</i>‐Mixture Models for Estimating Population Size from Spatially Replicated Counts 2004 J. Andrew Royle
4
+ PDF Chat Bayesian computation: a summary of the current state, and samples backwards and forwards 2015 Peter J. Green
Krzysztof ƁatuszyƄski
Marcelo Pereyra
Christian P. Robert
4
+ PDF Chat Parallel Markov chain Monte Carlo Simulation by Pre-Fetching 2006 Anthony Brockwell
4
+ Modeling Spatial Trajectories 2010 David R. Brillinger
4
+ PDF Chat Program MARK: survival estimation from populations of marked animals 1999 Gary C. White
Kenneth P. Burnham
4
+ PDF Chat Online Updating of Statistical Inference in the Big Data Setting 2016 Elizabeth D. Schifano
Jing Wu
Chun Wang
Jun Yan
Ming‐Hui Chen
3
+ PDF Chat <b>spBayes</b>for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models 2015 Andrew O. Finley
Sudipto Banerjee
Alan E. Gelfand
3
+ PDF Chat Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology 2010 David I. Warton
Leah Shepherd
3
+ Permutation and Grouping Methods for Sharpening Gaussian Process Approximations 2018 Joseph Guinness
3
+ PDF Chat Modelling group dynamic animal movement 2013 Roland Langrock
J. Grant C. Hopcraft
Paul G. Blackwell
Victoria Goodall
Ruth King
Mu Niu
Toby A. Patterson
Martin WĂŠver Pedersen
Anna Skarin
Robert S. Schick
3
+ The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing 1983 William E. Wecker
Craig F. Ansley
3
+ Approximating Point Process Likelihoods with GLIM 1992 Mark Berman
Tracey R. Turner
3
+ JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling 2003 Martyn Plummer
3
+ Spatial statistics and Gaussian processes: A beautiful marriage 2016 Alan E. Gelfand
Erin M. Schliep
3
+ PDF Chat Making Recursive Bayesian Inference Accessible 2019 Mevin B. Hooten
Devin S. Johnson
Brian M. Brost
3
+ PDF Chat SMC2: An Efficient Algorithm for Sequential Analysis of State Space Models 2012 NicolĂĄs Chopin
Pierre Jacob
Omiros Papaspiliopoulos
3
+ PDF Chat Hierarchical Low Rank Approximation of Likelihoods for Large Spatial Datasets 2017 Huang Huang
Ying Sun
3
+ PDF Chat Monotone Regression Splines in Action 1988 J. O. Ramsay
3
+ PDF Chat An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach 2011 Finn Lindgren
HĂ„vard Rue
Johan Lindström
3
+ Nonparametric Estimation of Nonstationary Spatial Covariance Structure 1992 Paul D. Sampson
Peter Guttorp
3
+ Spatially Explicit Maximum Likelihood Methods for Capture–Recapture Studies 2007 David L. Borchers
Murray G. Efford
3
+ Studies in the history of probability and statistics XLIX On the Matérn correlation family 2006 Peter Guttorp
Tilmann Gneiting
3
+ PDF Chat A Scalable Bootstrap for Massive Data 2014 Ariel Kleiner
Ameet Talwalkar
Purnamrita Sarkar
Michael I. Jordan
3
+ PDF Chat Local Gaussian Process Approximation for Large Computer Experiments 2014 Robert B. Gramacy
Daniel W. Apley
3
+ PDF Chat Radon-Nikodym Derivatives of Gaussian Measures 1966 L. A. Shepp
3
+ Bayesian Multimodel Inference by RJMCMC: A Gibbs Sampling Approach 2013 Richard Barker
William A. Link
3
+ PDF Chat Sequential Monte Carlo Samplers 2006 Pierre Del Moral
Arnaud Doucet
Ajay Jasra
3
+ Fixed Rank Kriging for Very Large Spatial Data Sets 2008 Noel Cressie
Gardar Johannesson
3
+ A cautionary note on the discrete uniform prior for the binomial <i>N</i> 2013 William A. Link
3
+ Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory 2010 Sumio Watanabe
3
+ Models for Bounded Systems with Continuous Dynamics 2009 Amanda R. Cangelosi
Mevin B. Hooten
3
+ PDF Chat Approximating Likelihoods for Large Spatial Data Sets 2004 Michael L. Stein
Zhiyi Chi
Leah J. Welty
3
+ PDF Chat Bayes and big data: the consensus Monte Carlo algorithm 2016 Steven L. Scott
Alexander W. Blocker
Fernando V. Bonassi
Hugh Chipman
Edward I. George
Robert E. McCulloch
3
+ Gaussian Markov Random Fields 2005 HĂ„vard Rue
Leonhard Held
3
+ PDF Chat Explaining the Saddlepoint Approximation 1999 Constantino Goutis
George Casella
3
+ A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data 2012 Faming Liang
Yichen Cheng
Qifan Song
Jincheol Park
Ping Yang
3
+ PDF Chat Dynamic Models of Animal Movement with Spatial Point Process Interactions 2015 James C. Russell
Ephraim M. Hanks
Murali Haran
3