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1

Bayesian methods in glaciology

by Brinkerhoff, Douglas
Published 2017
“... glaciological problems. First, we use Markov Chain Monte Carlo sampling to infer the importance of different...”

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Doctoral or Postdoctoral Thesis
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2

Population estimates of brown bears near Yakutat, Alaska using a Bayesian integrated population model

by Parrott, Mackenzie
Published 2021
“..., Alaska. A Bayesian analysis is used in this paper in conjunction with Markov Chain Monte Carlo in order...”

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Master Thesis
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3

Analyzing tree distribution and abundance in Yukon-Charley Rivers National Preserve: developing geostatistical Bayesian models with count data

by Winder, Samantha
Published 2018
“... responses). I ran a total of 10 distinct geostatistical SDMs using Markov Chain Monte Carlo (Bayesian...”

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Other/Unknown Material
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4

Gaussian process convolutions for Bayesian spatial classification

by Best, John K.
Published 2016
“... generated using a process convolution. A grid of knots (whose values were sampled using Markov Chain Monte...”

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Other/Unknown Material
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5

Floodplain terrain age at three sites in the Yukon River Watershed: Huslia, Alakanuk, and Beaver (Alaska), 2021-2022 ...

by Geyman, Emily, Ke, Yutian, Douglas, Madison, Anadu, Joshua, Magyar, John, Dunne, Kieran, Nghiem, Justin, Reahl, Jocelyn, Seelen, Emily, Smith, M. Isabel, Soldano, Vincent, Fischer, Woodward, Lamb, Michael, West, A. Joshua
Published 2024
“... (OSL) lab analyses, Markov Chain Monte Carlo (MCMC) interpolation through the geomorphic–radiogenic age...”

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Dataset
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6

Photographic mark-recapture analysis of clustered mammal-eating killer whales around the Aleutian Islands and Gulf of Alaska

by Durban, J., Ellifrit, D., Dahlheim, M., Waite, J., Matkin, C., Barrett-Lennard, L., Ellis, G., Pitman, R., LeDuc, R., Wade, P.
Published 2010
“... covered by 14 boat-based surveys exhibiting varying degrees of association in space and time. Markov Chain...”

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7

ORIGINAL PAPER Photographic mark-recapture analysis of clustered mammal-eating killer whales around the Aleutian Islands and Gulf of Alaska

by J. Durban, D. Ellifrit, M. Dahlheim, J. Waite, C. Matkin, L. Barrett-lennard, G. Ellis, R. Pitman, R. Leduc, P. Wade
“... covered by 14 boat-based surveys exhibiting varying degrees of association in space and time. Markov Chain...”

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8

Incorporation of bomb-produced 14C into fish otoliths: A novel approach for evaluating age validation and bias with an application to yellowfin sole and northern rockfish

by Kastelle, Craig R., Helser, Thomas E., Wischniowski, Stephen G., Loher, Timothy, Goetz, Betty J., Kautzi, Lisa A.
“... chain Monte Carlo simulation as a probabilistic framework to quantitatively estimate age determination...”

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Article in Journal/Newspaper
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9

Modelling quasi-periodic signals in geodetic time-series using Gaussian processes

by Koulali, A, Clarke, P J
Published in Geophysical Journal International (2021)
“... the variability structure in the data using covariance functions. We use the Markov Chain Monte Carlo method...”

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10

Sensitivity of airborne geophysical data to sublacustrine and near-surface permafrost thaw

by Minsley, B. J., Wellman, T. P., Walvoord, M. A., Revil, A.
Published in The Cryosphere (2018)
“... are analyzed with a Bayesian Markov chain Monte Carlo algorithm that quantifies geophysical parameter...”

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11

The Analysis of the Aftershock Sequences of the Recent Mainshocks in Alaska

by Mohammadamin Sedghizadeh, Robert Shcherbakov
Published in Applied Sciences (2022)
“... framework. For the Bayesian approach, the Markov Chain Monte Carlo (MCMC) sampling of the posterior...”

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Text
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12

Incorporation of bomb-produced 14 C into fish otoliths. An example of basin-specific rates from the North Pacific Ocean

by Wischniowski, Stephen G., Kastelle, Craig R., Loher, Timothy, Helser, Thomas E.
Published in Canadian Journal of Fisheries and Aquatic Sciences (2015)
“... and modeled to validate age-estimation accuracy. A Bayesian model was developed and Markov chain Monte Carlo...”

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13

Resolving heterogeneous fluxes from tundra halves the growing season carbon budget

by Ludwig, Sarah M., Schiferl, Luke, Hung, Jacqueline, Natali, Susan M., Commane, Roisin
Published 2023
“... Markov Chain Monte Carlo (MCMC) methods to un-mix tower observations into constituent landcover fluxes...”

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14

Drivers of fire in the boreal forests: Data constrained design of a prognostic model of burned area for use in dynamic global vegetation models

by Crevoisier, C., Shevliakova, E., Gloor, M., Wirth, C., Pacala, S.
Published in Journal of Geophysical Research (2007)
“... to climate change. Model parameters are estimated using a Markov Chain Monte Carlo method applied...”

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Article in Journal/Newspaper
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15

Resolving heterogeneous fluxes from tundra halves the growing season carbon budget

by Ludwig, Sarah M., Schiferl, Luke, Hung, Jacqueline, Natali, Susan M., Commane, Roisin
Published in Biogeosciences (2024)
“... and Bayesian Markov chain Monte Carlo (MCMC) methods to unmix eddy covariance observations into constituent...”

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16

The Analysis of the Aftershock Sequences of the Recent Mainshocks in Alaska

by Mohammadamin Sedghizadeh, Robert Shcherbakov
Published in Applied Sciences (2022)
“... framework. For the Bayesian approach, the Markov Chain Monte Carlo (MCMC) sampling of the posterior...”

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Article in Journal/Newspaper
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17

Species density models from opportunistic citizen science data

by Ver Hoef, Jay M., Johnson, Devin, Angliss, Robyn, Higham, Matt
Published in Methods in Ecology and Evolution (2021)
“... million Markov chain Monte Carlo (MCMC) samples (1,000 were retained) from the posterior distribution. We...”

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Article in Journal/Newspaper
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18

Sensitivity of airborne geophysical data to sublacustrine and near-surface permafrost thaw

by B. J. Minsley, T. P. Wellman, M. A. Walvoord, A. Revil
Published in The Cryosphere (2015)
“... are analyzed with a Bayesian Markov chain Monte Carlo algorithm that quantifies geophysical parameter...”

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Article in Journal/Newspaper
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19

Sensitivity of airborne geophysical data to sublacustrine and near-surface permafrost thaw

by Minsley, B. J., Wellman, T. P., Walvoord, M. A., Revil, A.
Published in The Cryosphere (2015)
“... are analyzed with a Bayesian Markov chain Monte Carlo algorithm that quantifies geophysical parameter...”

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Article in Journal/Newspaper
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20

Sensitivity of airborne geophysical data to sublacustrine and near-surface permafrost thaw

by B. J. Minsley, T. P. Wellman, M. A. Walvoord, A. Revil
Published in The Cryosphere (2015)
“... are analyzed with a Bayesian Markov chain Monte Carlo algorithm that quantifies geophysical parameter...”

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Article in Journal/Newspaper