Comparison of fitted models with temporal terms, overdispersion random effects, and heterogeneity by sex and geographical regions (Prioris RW1 for temporal effects).

Comparison of the average discrepancy of all seven models by incorporating empirical data across all observation points.

Xiaoyan Li (117291)
Alexander Doroshenko (5612138)
Nathaniel D. Osgood (260128)

November 2018

Comparison of the average discrepancy of all seven models by incorporating empirical data across all...

Likelihood comparison as a function of model size.

Urs Köster (592232)
Jascha Sohl-Dickstein (592233)
Charles M. Gray (592234)
Bruno A. Olshausen (592235)

July 2014

Spatiotemporal models with 10 cells and a varying number of concatenated time steps. The log-like...

Summaries of estimated posterior distributions for fixed effects, regional random effects, habitat random effects, and taxonomic class random effects in the time-to-event model.

Philipp Neubauer (5211074)
James T. Thorson (141979)
Michael C. Melnychuk (241162)
Richard Methot (5211077)
Kristan Blackhart (5211080)

May 2018

Circles show posterior medians, thick bars show inter-quartile ranges of the posteriors, and thin...

Proposed multivariate models considering temporal effects, overdispersion random effects, and heterogeneity by sex (or geographic region).

Taynãna César Simões (407043)
Laiane Félix Borges (5844176)
Auzenda Conceição Parreira de Assis (4976312)
Maria Vitórias Silva (5801627)
Juliano dos Santos (4976324)
Karina Cardoso Meira (849684)

October 2018

Proposed multivariate models considering temporal effects, overdispersion random effects, and hetero...

Comparison of fit for univariate and multivariate models (with contrast effect).

Lyndall Schumann (3966629)
Michel Boivin (292295)
Stéphane Paquin (3966626)
Eric Lacourse (409091)
Mara Brendgen (667268)
Frank Vitaro (236309)
Ginette Dionne (655708)
Richard E. Tremblay (236315)
Linda Booij (246959)

April 2017

Comparison of fit for univariate and multivariate models (with contrast effect).</p

Estimates of demographic and spatial expansion model parameters and raggedness indices based on mismatch distributions.

Nathaniel K. Jue (117653)
Thierry Brulé (719631)
Felicia C. Coleman (719632)
Christopher C. Koenig (719633)

April 2015

Estimates of demographic and spatial expansion model parameters and raggedness indices based on m...

Hypotheses between predictors and effect size estimate based on random-effects model, p-uniform, and overestimation in effect size when comparing estimate of the random-effects model with p-uniform (Y).

Robbie C. M. van Aert (510380)
Jelte M. Wicherts (198336)
Marcel A. L. M. van Assen (510379)

April 2019

Hypotheses between predictors and effect size estimate based on random-effects model, p-uniform, and...

This graphic demonstrates random effects model selection for the case of comparing two models.

Anna Jafarpour (441890)
Gareth Barnes (108476)
Lluis Fuentemilla (5655889)
Emrah Duzel (5653648)
Will D. Penny (217068)

August 2013

These models have frequencies and . These frequencies refer to the population from which the sub...

Changing performance of different fitting models of physical co-presence intensity patterns and co-location distributions across time.

Yao Shen (131740)
Kayvan Karimi (6321224)
Stephen Law (6155762)
Chen Zhong (133157)

February 2019

((a) change of the coverage percentage for power-law and lognormal fits over time; (b) change of sha...

Model averaged parameter estimate of explanatory variables for each response variable under model 4 (the temporal-spatial heterogeneity model).

Bronwyn Price (458997)
Clive A. McAlpine (458513)
Alex S. Kutt (239130)
Doug Ward (458998)
Stuart R. Phinn (458999)
John A. Ludwig (459000)

September 2013

The greater the parameter estimate the larger the comparative influence on the response variable....

Mixed models for spatially correlated data using PC priors

December 2020

none2noGeneralized linear mixed models (GLMM) represent a flexible tool to model environmental data ...

Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).

Ying Lau (826140)
Kin Sun Chan (5279147)

May 2018

Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p

Comparison of the effect estimates (pooled for age cohorts) of the Demirjian and Willems methods in females.

Temitope Ayodeji Esan (4580086)
Veerasamy Yengopal (475777)
Lynne A. Schepartz (4580089)

November 2017

Comparison of the effect estimates (pooled for age cohorts) of the Demirjian and Willems methods ...

Fitted model parameters for MATCH behavior of the model with subjective priors.

Adam M. Gifford (600108)
Yale E. Cohen (257430)
Alan A. Stocker (600109)

July 2014

(a–d) Boxplots depicting the range of (a) the fitted means for the category- distribution; (b) th...

Correlations (95% CIs from 1000 bootstrap samples) between the fitted and extrapolated random effects for models fitted to night and day time temperatures.

Tini Garske (230974)
Neil M. Ferguson (30575)
Azra C. Ghani (160248)

February 2013

Correlations (95% CIs from 1000 bootstrap samples) between the fitted and extrapolated random eff...

Comparison of the average discrepancy of all seven models by incorporating empirical data across all observation points.

Xiaoyan Li (117291)
Alexander Doroshenko (5612138)
Nathaniel D. Osgood (260128)

November 2018

Comparison of the average discrepancy of all seven models by incorporating empirical data across all...

Likelihood comparison as a function of model size.

Urs Köster (592232)
Jascha Sohl-Dickstein (592233)
Charles M. Gray (592234)
Bruno A. Olshausen (592235)

July 2014

Spatiotemporal models with 10 cells and a varying number of concatenated time steps. The log-like...

Summaries of estimated posterior distributions for fixed effects, regional random effects, habitat random effects, and taxonomic class random effects in the time-to-event model.

Philipp Neubauer (5211074)
James T. Thorson (141979)
Michael C. Melnychuk (241162)
Richard Methot (5211077)
Kristan Blackhart (5211080)

May 2018

Circles show posterior medians, thick bars show inter-quartile ranges of the posteriors, and thin...

Proposed multivariate models considering temporal effects, overdispersion random effects, and heterogeneity by sex (or geographic region).

Taynãna César Simões (407043)
Laiane Félix Borges (5844176)
Auzenda Conceição Parreira de Assis (4976312)
Maria Vitórias Silva (5801627)
Juliano dos Santos (4976324)
Karina Cardoso Meira (849684)

October 2018

Proposed multivariate models considering temporal effects, overdispersion random effects, and hetero...

Comparison of fit for univariate and multivariate models (with contrast effect).

Lyndall Schumann (3966629)
Michel Boivin (292295)
Stéphane Paquin (3966626)
Eric Lacourse (409091)
Mara Brendgen (667268)
Frank Vitaro (236309)
Ginette Dionne (655708)
Richard E. Tremblay (236315)
Linda Booij (246959)

April 2017

Comparison of fit for univariate and multivariate models (with contrast effect).</p

Estimates of demographic and spatial expansion model parameters and raggedness indices based on mismatch distributions.

Nathaniel K. Jue (117653)
Thierry Brulé (719631)
Felicia C. Coleman (719632)
Christopher C. Koenig (719633)

April 2015

Estimates of demographic and spatial expansion model parameters and raggedness indices based on m...

Hypotheses between predictors and effect size estimate based on random-effects model, p-uniform, and overestimation in effect size when comparing estimate of the random-effects model with p-uniform (Y).

Robbie C. M. van Aert (510380)
Jelte M. Wicherts (198336)
Marcel A. L. M. van Assen (510379)

April 2019

Hypotheses between predictors and effect size estimate based on random-effects model, p-uniform, and...

This graphic demonstrates random effects model selection for the case of comparing two models.

Anna Jafarpour (441890)
Gareth Barnes (108476)
Lluis Fuentemilla (5655889)
Emrah Duzel (5653648)
Will D. Penny (217068)

August 2013

These models have frequencies and . These frequencies refer to the population from which the sub...

Changing performance of different fitting models of physical co-presence intensity patterns and co-location distributions across time.

Yao Shen (131740)
Kayvan Karimi (6321224)
Stephen Law (6155762)
Chen Zhong (133157)

February 2019

((a) change of the coverage percentage for power-law and lognormal fits over time; (b) change of sha...

Model averaged parameter estimate of explanatory variables for each response variable under model 4 (the temporal-spatial heterogeneity model).

Bronwyn Price (458997)
Clive A. McAlpine (458513)
Alex S. Kutt (239130)
Doug Ward (458998)
Stuart R. Phinn (458999)
John A. Ludwig (459000)

September 2013

The greater the parameter estimate the larger the comparative influence on the response variable....

Mixed models for spatially correlated data using PC priors

December 2020

none2noGeneralized linear mixed models (GLMM) represent a flexible tool to model environmental data ...

Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).

Ying Lau (826140)
Kin Sun Chan (5279147)

May 2018

Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p

Comparison of the effect estimates (pooled for age cohorts) of the Demirjian and Willems methods in females.

Temitope Ayodeji Esan (4580086)
Veerasamy Yengopal (475777)
Lynne A. Schepartz (4580089)

November 2017

Comparison of the effect estimates (pooled for age cohorts) of the Demirjian and Willems methods ...

Fitted model parameters for MATCH behavior of the model with subjective priors.

Adam M. Gifford (600108)
Yale E. Cohen (257430)
Alan A. Stocker (600109)

July 2014

(a–d) Boxplots depicting the range of (a) the fitted means for the category- distribution; (b) th...

Correlations (95% CIs from 1000 bootstrap samples) between the fitted and extrapolated random effects for models fitted to night and day time temperatures.

Tini Garske (230974)
Neil M. Ferguson (30575)
Azra C. Ghani (160248)

February 2013

Correlations (95% CIs from 1000 bootstrap samples) between the fitted and extrapolated random eff...

Comparison of the average discrepancy of all seven models by incorporating empirical data across all observation points.

Xiaoyan Li (117291)
Alexander Doroshenko (5612138)
Nathaniel D. Osgood (260128)

November 2018

Comparison of the average discrepancy of all seven models by incorporating empirical data across all...

Likelihood comparison as a function of model size.

Urs Köster (592232)
Jascha Sohl-Dickstein (592233)
Charles M. Gray (592234)
Bruno A. Olshausen (592235)

July 2014

Spatiotemporal models with 10 cells and a varying number of concatenated time steps. The log-like...

Summaries of estimated posterior distributions for fixed effects, regional random effects, habitat random effects, and taxonomic class random effects in the time-to-event model.

Philipp Neubauer (5211074)
James T. Thorson (141979)
Michael C. Melnychuk (241162)
Richard Methot (5211077)
Kristan Blackhart (5211080)

May 2018

Circles show posterior medians, thick bars show inter-quartile ranges of the posteriors, and thin...

Comparison of fitted models with temporal terms, overdispersion random effects, and heterogeneity by sex and geographical regions (Prioris RW1 for temporal effects).

Abstract

Extracted data

Comparison of fitted models with temporal terms, overdispersion random effects, and heterogeneity by sex and geographical regions (Prioris RW1 for temporal effects).

Abstract

Extracted data

Related items

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