Likelihoods on coalescents: a Monte Carlo sampling approach to inferring parameters from population samples of molecular data

Institute of Mathematical Statistics Lecture Notes - Monograph Series - Statistics in molecular biology and genetics ◽

10.1214/lnms/1215455552 ◽

1999 ◽

pp. 163-185 ◽

Author(s):

Joseph Felsenstein ◽

Mary K. Kuhner ◽

Jon Yamato ◽

Peter Beerli

Keyword(s):

Monte Carlo ◽

Monte Carlo Sampling ◽

Molecular Data ◽

Sampling Approach

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Monte Carlo sampling approach to stochastic programming

ESAIM Proceedings ◽

10.1051/proc:2003003 ◽

2003 ◽

Vol 13 ◽

pp. 65-73 ◽

Author(s):

A. Shapiro

Keyword(s):

Monte Carlo ◽

Stochastic Programming ◽

Monte Carlo Sampling ◽

Sampling Approach

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Determination of the uranium enrichment without calibration standards using a 2 × 2 inch LaBr3(Ce) room temperature detector and Monte Carlo sampling approach for uncertainty assessment

The European Physical Journal Plus ◽

10.1140/epjp/i2018-12363-8 ◽

2018 ◽

Vol 133 (12) ◽

Author(s):

I. Meleshenkovskii ◽

N. Pauly ◽

P. -E. Labeau

Keyword(s):

Monte Carlo ◽

Room Temperature ◽

Monte Carlo Sampling ◽

Uncertainty Assessment ◽

Uranium Enrichment ◽

Calibration Standards ◽

Temperature Detector ◽

Sampling Approach

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Instantaneous GNSS attitude determination: A Monte Carlo sampling approach

Acta Astronautica ◽

10.1016/j.actaastro.2017.01.006 ◽

2017 ◽

Vol 133 ◽

pp. 24-29 ◽

Author(s):

Xiucong Sun ◽

Chao Han ◽

Pei Chen

Keyword(s):

Monte Carlo ◽

Attitude Determination ◽

Monte Carlo Sampling ◽

Sampling Approach

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Sensor scheduling for target tracking: A Monte Carlo sampling approach

Digital Signal Processing ◽

10.1016/j.dsp.2005.02.005 ◽

2006 ◽

Vol 16 (5) ◽

pp. 533-545 ◽

Author(s):

Ying He ◽

Edwin K.P. Chong

Keyword(s):

Monte Carlo ◽

Target Tracking ◽

Monte Carlo Sampling ◽

Sensor Scheduling ◽

Sampling Approach

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Computational Complexity of Stochastic Programming: Monte Carlo Sampling Approach

Proceedings of the International Congress of Mathematicians 2010 (ICM 2010) ◽

10.1142/9789814324359_0175 ◽

2011 ◽

Author(s):

Alexander Shapiro

Keyword(s):

Monte Carlo ◽

Computational Complexity ◽

Stochastic Programming ◽

Monte Carlo Sampling ◽

Sampling Approach

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Monte carlo sampling approach to testing nonnested hypothesis: monte carlo results

Econometric Reviews ◽

10.1080/07474939908800439 ◽

1999 ◽

Vol 18 (2) ◽

pp. 195-209 ◽

Author(s):

N. Coulibaly ◽

B. Wade Brorsen

Keyword(s):

Monte Carlo ◽

Monte Carlo Sampling ◽

Sampling Approach

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Differential parameters uncertainty estimation via a PCA-based monte carlo sampling approach: IRT-4M fuel type as a case study

Journal of Nuclear Science and Technology ◽

10.1080/00223131.2021.1899996 ◽

2021 ◽

pp. 1-8

Author(s):

Bassam A. Khuwaileh ◽

Zafar Said

Keyword(s):

Monte Carlo ◽

Monte Carlo Sampling ◽

Uncertainty Estimation ◽

Fuel Type ◽

Parameters Uncertainty ◽

Sampling Approach

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Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2015.2402675 ◽

2015 ◽

Vol 8 (6) ◽

pp. 3025-3038 ◽

Author(s):

Linlin Xu ◽

Fan Li ◽

Alexander Wong ◽

David A. Clausi

Keyword(s):

Monte Carlo ◽

Image Denoising ◽

Hyperspectral Image ◽

Monte Carlo Sampling ◽

Sampling Approach

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Bayesian inference, Monte Carlo sampling and operational risk

The Journal of Operational Risk ◽

10.21314/jop.2006.014 ◽

2006 ◽

Vol 1 (3) ◽

pp. 27-50 ◽

Author(s):

G Peters ◽

S Sisson

Keyword(s):

Monte Carlo ◽

Bayesian Inference ◽

Operational Risk ◽

Monte Carlo Sampling

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A Monte Carlo Sampling Method of Amino Acid Sequences Adaptable to Given Main-Chain Atoms in the Proteins

The Journal of Biochemistry ◽

10.1093/jb/mvj184 ◽

2006 ◽

Vol 140 (4) ◽

pp. 543-552

Author(s):

Koji Ogata ◽

Kenji Soejima ◽

Junichi Higo

Keyword(s):

Monte Carlo ◽

Sampling Method ◽

Monte Carlo Sampling ◽

Amino Acid Sequences

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