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Quasi-Poisson vs. Negative Binomial Regression: How Should We Model Overdispersed Count Data?

Ecology (Durham), 2007-11, Vol.88 (11), p.2766-2772

2007

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Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity

Proceedings of the National Academy of Sciences - PNAS, 2016-04, Vol.113 (16), p.4374-4379

2016

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Accounting for Uncertainty in Ecological Analysis: the Strengths and Limitations of Hierarchical Statistical Modeling

Ecological applications, 2009-04, Vol.19 (3), p.553-570

2009

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A Moving Average Approach for Spatial Statistical Models of Stream Networks

Journal of the American Statistical Association, 2010-03, Vol.105 (489), p.6-18

2010

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A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference

Methods in ecology and evolution, 2022-09, Vol.13 (9), p.2018-2029

2022

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A comparison of the spatial linear model to Nearest Neighbor (k-NN) methods for forestry applications

PloS one, 2013-03, Vol.8 (3), p.e59129-e59129

2013

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Trends in spatial patterns of heavy metal deposition on national park service lands along the Red Dog Mine haul road, Alaska, 2001-2006

PloS one, 2017-05, Vol.12 (5), p.e0177936-e0177936

2017

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Estimating multispecies abundance using automated detection systems: ice‐associated seals in the Bering Sea

Methods in ecology and evolution, 2014-12, Vol.5 (12), p.1280-1293

2014

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Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts

Ecological monographs, 2015-05, Vol.85 (2), p.235-252

2015

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Haul-out behavior of harbor seals (Phoca vitulina) in Hood Canal, Washington

PloS one, 2012-06, Vol.7 (6), p.e38180-e38180

2012

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Comparing spatial regression to random forests for large environmental data sets

PloS one, 2020-03, Vol.15 (3), p.e0229509

2020

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Who Invented the Delta Method?

The American statistician, 2012-05, Vol.66 (2), p.124-127

Ver Hoef, Jay M.

2012

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Spatial autoregressive models for statistical inference from ecological data

Ecological monographs, 2018-02, Vol.88 (1), p.36-59

2018

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A Bayesian Analysis of Abundance, Trend, and Population Viability for Harbor Seals in Iliamna Lake, Alaska

Risk analysis, 2018-09, Vol.38 (9), p.1988-2009

2018

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On Deconfounding Spatial Confounding in Linear Models

The American statistician, 2022-04, Vol.76 (2), p.159-167

2022

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Spatially Estimating Disturbance of Harbor Seals (Phoca vitulina)

PloS one, 2015-07, Vol.10 (7), p.e0129798-e0129798

2015

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Model-Based Approach for Making Ecological Inference from Distance Sampling Data

Biometrics, 2010-03, Vol.66 (1), p.310-318

2010

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The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams

Water resources research, 2017-11, Vol.53 (11), p.9181-9205

2017

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Indexing and partitioning the spatial linear model for large data sets

PloS one, 2023-11, Vol.18 (11), p.e0291906-e0291906

2023

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A mixed-model moving-average approach to geostatistical modeling in stream networks

Ecology (Durham), 2010-03, Vol.91 (3), p.644-651

2010

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Kriging models for linear networks and non‐Euclidean distances: Cautions and solutions

Methods in ecology and evolution, 2018-06, Vol.9 (6), p.1600-1613

2018

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Space-time zero-inflated count models of Harbor seals

Environmetrics (London, Ont.), 2007-11, Vol.18 (7), p.697-712

2007

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Modelling dendritic ecological networks in space: an integrated network perspective

Ecology letters, 2013-05, Vol.16 (5), p.707-719

2013

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Decline towards extinction of Mexico's vaquita porpoise ( Phocoena sinus )

Royal Society open science, 2019-07, Vol.6 (7), p.190598-190598

2019

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Species density models from opportunistic citizen science data

Methods in ecology and evolution, 2021-10, Vol.12 (10), p.1911-1925

2021

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Quasi-Poisson vs. Negative Binomial Regression: How Should We Model Overdispersed Count Data?

Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity

Accounting for Uncertainty in Ecological Analysis: the Strengths and Limitations of Hierarchical Statistical Modeling

A Moving Average Approach for Spatial Statistical Models of Stream Networks

A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference

A comparison of the spatial linear model to Nearest Neighbor (k-NN) methods for forestry applications

Trends in spatial patterns of heavy metal deposition on national park service lands along the Red Dog Mine haul road, Alaska, 2001-2006

Estimating multispecies abundance using automated detection systems: ice‐associated seals in the Bering Sea

Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts

Haul-out behavior of harbor seals (Phoca vitulina) in Hood Canal, Washington

Comparing spatial regression to random forests for large environmental data sets

Who Invented the Delta Method?

Spatial autoregressive models for statistical inference from ecological data

A Bayesian Analysis of Abundance, Trend, and Population Viability for Harbor Seals in Iliamna Lake, Alaska

On Deconfounding Spatial Confounding in Linear Models

Spatially Estimating Disturbance of Harbor Seals (Phoca vitulina)

Model-Based Approach for Making Ecological Inference from Distance Sampling Data

The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams

Indexing and partitioning the spatial linear model for large data sets

A mixed-model moving-average approach to geostatistical modeling in stream networks

Kriging models for linear networks and non‐Euclidean distances: Cautions and solutions

Space-time zero-inflated count models of Harbor seals

Modelling dendritic ecological networks in space: an integrated network perspective

Decline towards extinction of Mexico's vaquita porpoise ( Phocoena sinus )

Species density models from opportunistic citizen science data

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