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1

Probabilistic inference code for inferring Benthic ecosystem cascade effects in Antarctica using Bayesian network inference

by Mitchell, Emily G.
Published 2020
“...Code for inferring changes in node state for Bayesian networks, used in the paper Benthic ecosystem...”

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2

Probabilistic inference code for inferring Benthic ecosystem cascade effects in Antarctica using Bayesian network inference

by Mitchell, Emily G.
Published 2020
“...Code for inferring changes in node state for Bayesian networks, used in the paper Benthic ecosystem...”

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3

Probabilistic inference code for inferring Benthic ecosystem cascade effects in Antarctica using Bayesian network inference

by Mitchell, Emily G.
Published 2020
“...Code for inferring changes in node state for Bayesian networks, used in the paper Benthic ecosystem...”

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4

Variational Inference at Glacier Scale

by Brinkerhoff, Douglas J.
Published 2021
“... variational inference combined with natural gradient descent to find an approximating variational distribution...”

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5

Bayesian Inference and Stochastic Processes

by Bittelli, Marco, Olmi, Roberto, Rosa, Rodolfo
Published 2022
“...Abstract Chapter 8 focus on a cornerstone of modern statistics, Bayesian inference. Here Bayesian...”

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6

Variational Inference at Glacier Scale

by Brinkerhoff, Douglas J.
Published in Journal of Computational Physics (2021)
“... variational inference combined with natural gradient descent to find an approximating variational distribution...”

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7

On the scientific inference from clinical trials

by Holmberg, L, Baum, M, Adami, HO
Published 1999
Subjects: “...inference...”

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8

Interactive visualization for data inference in the geosciences

by Morse, PEL
Published 2021
“..., the primary means by which geoscientists infer structure and process in the deep Earth. A novel, interactive...”

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9

10. Metaphor, inference, and prediction in paleoecology

Published 2017

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10

DNA sequence alignment for phylogeny inference

by Near, Thomas J., Dornburg, Alex, Harrington, Richard C., Oliveira, Claudio, Pietsch, Theodore W., Thacker, Christine E., Satoh, Takashi P., Katayama, Eri, Wainwright, Peter C., Eastman, Joseph T., Beaulieu, Jeremy M.
Published 2015
“...DNA sequence alignments used for RAxML phylogeny inference...”

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11

DNA sequence alignment for phylogeny inference

by Near, Thomas J., Dornburg, Alex, Harrington, Richard C., Oliveira, Claudio, Pietsch, Theodore W., Thacker, Christine E., Satoh, Takashi P., Katayama, Eri, Wainwright, Peter C., Eastman, Joseph T., Beaulieu, Jeremy M.
Published 2015
“...DNA sequence alignments used for RAxML phylogeny inference...”

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12

Inference for Observations of Integrated Diffusion Processes

by Susanne Ditlevsen, Michael Sørensen
Published in Scandinavian Journal of Statistics
“... diffusions. The method is applied to inference based on integrated data from Ornstein–Uhlenbeck processes...”

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13

stema_data

by Correia, Hannah E.
Published 2018
Subjects: “...multi-model inference...”

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14

Data from: Spatio-temporally explicit model averaging for forecasting of Alaskan groundfish catch

by Correia, Hannah E.
Published 2018
Subjects: “...multi-model inference...”

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15

Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
Subjects: “...Bayesian inference...”

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16

A statistical approach to the phasing of sea ice retreat and atmospheric reorganization at the onset of Dansgaard Oeschger events based on stochastic transition detection

by Riechers, Keno, Boers, Niklas
Published 2021
Subjects: “...Bayesian Inference...”

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17

A statistical approach to the phasing of sea ice retreat and atmospheric reorganization at the onset of Dansgaard Oeschger events based on stochastic transition detection

by Riechers, Keno, Boers, Niklas
Published 2021
Subjects: “...Bayesian Inference...”

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18

A statistical approach to the phasing of sea ice retreat and atmospheric reorganization at the onset of Dansgaard Oeschger events based on stochastic transition detection

by Riechers, Keno, Boers, Niklas
Published 2021
Subjects: “...Bayesian Inference...”

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19

Designing ocean acidification experiments to maximize inference

by J Havenhand, S Dupont, Gerry Quinn
Published 2010
“...Designing ocean acidification experiments to maximize inference...”

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20

Deep ML for inference from indirect measurements

by Hickmann, Kyle Scott
Published 2022

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