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05/06/2023
Geostatistical capture-recapture models
Methods for population estimation and inference have evolved over the pa...
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12/10/2022
Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology
To study population dynamics, ecologists and wildlife biologists use rel...
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08/15/2022
Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems
The Alaskan landscape has undergone substantial changes in recent decade...
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05/09/2022
Bayesian Capture-Recapture Models that Facilitate Recursive Computing
Ecologists increasingly rely on Bayesian capture-recapture models to est...
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12/09/2021
Source Reconstruction for Spatio-Temporal Physical Statistical Models
In many applications, a signal is deformed by well-understood dynamics b...
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10/23/2020
Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
We propose a multistage method for making inference at all levels of a B...
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09/08/2020
Bayesian Inverse Reinforcement Learning for Collective Animal Movement
Agent-based methods allow for defining simple rules that generate comple...
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11/08/2019
Animal Movement Models with Mechanistic Selection Functions
Most statistical inference for animal trajectories has primarily arisen ...
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05/13/2019
Hierarchical approaches for flexible and interpretable binary regression models
Binary regression models are ubiquitous in virtually every scientific fi...
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03/12/2019
Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction
Multivariate compositional count data arise in many applications includi...
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07/28/2018
Making Recursive Bayesian Inference Accessible
Bayesian models are naturally equipped to provide recursive inference be...
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07/28/2018
Prior-Proposal Recursive Bayesian Inference
Bayesian models are naturally equipped to provide recursive inference be...
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06/25/2018
Accounting for phenology in the analysis of animal movement
The analysis of animal tracking data provides an important source of sci...
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10/19/2017
