Richard J. Barker

发表

William A. Link, Richard J. Barker, W. Link, 2009 .

Putting Markov Chains Back into Markov Chain Monte Carlo

Richard J. Barker, Matthew R. Schofield, 2007, Adv. Decis. Sci..

Combining dead recovery, auxiliary observations and robust design data to estimate demographic parameters from marked individuals

Richard J. Barker, William L. Kendall, Gary C. White, 2013 .

Bayesian Hierarchical Models for Inference About Population Growth

Richard J. Barker, Matthew R. Schofield, Doug P. Armstrong, 2009 .

Full Open Population Capture–Recapture Models With Individual Covariates

Richard J. Barker, Matthew R. Schofield, R. Barker, 2010, 1009.3516.

Truth, models, model sets, AIC, and multimodel inference: a Bayesian perspective

William A. Link, Richard J. Barker, W. Link, 2015 .

Seven. Joint Modeling of Tag-recovery and Live-resighting Data

Richard J. Barker, 2010 .

Bayesian Inference: With Ecological Applications

William A. Link, Richard J. Barker, W. Link, 2009 .

Hierarchical modeling of abundance in closed population capture–recapture models under heterogeneity

Richard J. Barker, Matthew R. Schofield, R. Barker, 2013, Environmental and Ecological Statistics.

Collaborative Learning as Part of Adaptive Management of Forests Affected by Deer

Will Allen, Chris Jacobson, Richard J. Barker, 2009 .

JOINT MODELING OF LIVE-RECAPTURE, TAG-RESIGHT, AND TAG-RECOVERY DATA

Richard J. Barker, R. Barker, 1997 .

A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data

Richard J. Barker, Andrew Gelman, Edward R. Cook, 2015, 1510.02557.

NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data

Daniel C. Berrios, Michael D. Lee, Afshin Beheshti, 2020, bioRxiv.

A Conversation with G. A. F. Seber

Richard J. Barker, R. Barker, 2016 .

A Further Step Toward the Mother-of-All-Models: Flexibility and Functionality in the Modeling of Capture–Recapture Data

Richard J. Barker, Matthew R. Schofield, R. Barker, 2009 .

Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack–Jolly–Seber model

William A. Link, Richard J. Barker, 2007, Environmental and Ecological Statistics.

An approximate Bayesian algorithm for training fuzzy cognitive map models of forest responses to deer control in a New Zealand adaptive management experiment

Will Allen, Chris Jacobson, Richard J. Barker, 2012 .

Application of decision theory to conservation management: recovery of Hector's dolphin

Michael J. Conroy, Richard J. Barker, Ian M. Westbrooke, 2008 .

Bayesian Multimodel Inference by RJMCMC: A Gibbs Sampling Approach

William A. Link, Richard J. Barker, W. Link, 2013 .

First evidence that marine protected areas can work for marine mammals

Richard J. Barker, Elisabeth Slooten, William Rayment, 2012 .

Discussion comments on: 'Approaches for the direct estimation of u and demographic contributions to u using capture-recapture data'

Carl J. Schwarz, Richard J. Barker, Evan G. Cooch, 2002 .

Statistical Aspects of Point Count Sampling

Richard J. Barker, John R. Sauer, 1995 .

Factors influencing survival and long-term population viability of New Zealand long-tailed bats (Chalinolobus tuberculatus): Implications for conservation

Richard J. Barker, Moira A. Pryde, Colin F. J. O'Donnell, 2005 .

Modeling tag loss in New Zealand fur seal pups

Richard J. Barker, Corey J. A. Bradshaw, Lloyd S. Davis, 2000 .

Estimating population size in the presence of temporary migration using a joint analysis of telemetry and capture–recapture data

Richard J. Barker, Michael A. McCarthy, Simon J. Nicol, 2014 .

Statistical aspects of modeling population change from population size data

Richard J. Barker, John R. Sauer, J. Sauer, 1994 .

50-Year-Old Curiosities: Ancillarity and Inference in Capture–Recapture Models

Richard J. Barker, Matthew R. Schofield, R. Barker, 2016 .

Modelling survival of Hector's Dolphins around Banks Peninsula, New Zealand

Richard J. Barker, Stephen M. Dawson, David Fletcher, 1999 .

Encounter history modeling of joint mark-recapture, tag-resighting and tag-recovery data under temporary emigration

Kenneth P. Burnham, Richard J. Barker, Gary C. White, 2004 .

Effect of heterogeneous survival on bird-banding model confidence interval coverage rates

Richard J. Barker, R. Barker, 1992 .

Towards the mother–of–all–models: customised construction of the mark–recapture likelihood function

Richard J. Barker, Gary C. White, G. White, 2004 .

A unified capture-recapture framework

Richard J. Barker, Matthew R. Schofield, R. Barker, 2008 .

Measuring density dependence in survival from mark-recapture data

Richard J. Barker, David Fletcher, D. Fletcher, 2002 .

Posterior model probabilities computed from model-specific Gibbs output

William A. Link, Richard J. Barker, W. Link, 2010, 1012.0073.

Density estimation using the trapping web design: A geometric analysis

William A. Link, Richard J. Barker, W. Link, 1994 .

Modelling Population Change From Time Series Data

Richard J. Barker, John R. Sauer, J. Sauer, 1992 .

Joint analysis of mark—recapture, resighting and ring-recovery data with age-dependence and marking-effect

Richard J. Barker, R. Barker, 1999 .

Demographic meta-analysis: synthesizing vital rates for spotted owls

Richard J. Barker, Mark S. Boyce, M. Boyce, 2005 .