Stochastic EM methods with variance reduction for penalised PET reconstructions

Inverse Problems ◽

10.1088/1361-6420/ac2d74 ◽

2021 ◽

Author(s):

Zeljko Kereta ◽

Robert Twyman ◽

Simon R Arridge ◽

Kris Thielemans ◽

Bangti Jin

Keyword(s):

Variance Reduction ◽

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Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287414 ◽

2021 ◽

Author(s):

Q. Legros ◽

S. McLaughlin ◽

Y. Altmann ◽

S. Meignen

Keyword(s):

Em Algorithm ◽

Fast Analysis ◽

Stochastic Em Algorithm ◽

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Variance Reduction for Monte Carlo Methods

Доклады Академии наук ◽

10.31857/s086956520002903-6 ◽

2018 ◽

Vol 482 (6) ◽

pp. 627-630

Author(s):

D. Belomestny ◽

◽

L. Iosipoi ◽

N. Zhivotovskiy ◽

◽

...

Keyword(s):

Monte Carlo ◽

Monte Carlo Methods ◽

Variance Reduction

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Accelerating Monte Carlo: quasirandom sequences and variance reduction

The Journal of Computational Finance ◽

10.21314/jcf.1997.007 ◽

1997 ◽

Vol 1 (2) ◽

pp. 79-95 ◽

Author(s):

Leonard Berman

Keyword(s):

Monte Carlo ◽

Variance Reduction

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Variance reduction techniques for pricing American options using function approximations

The Journal of Computational Finance ◽

10.21314/jcf.2009.208 ◽

2009 ◽

Vol 12 (3) ◽

pp. 79-102 ◽

Author(s):

Sandeep Juneja ◽

Himanshu Kalra

Keyword(s):

Variance Reduction ◽

American Options ◽

Variance Reduction Techniques ◽

Reduction Techniques ◽

Function Approximations

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Combining Latin Hypercube Sampling with Other Variance Reduction Techniques

SSRN Electronic Journal ◽

10.2139/ssrn.2179680 ◽

2012 ◽

Author(s):

Natalie Packham

Keyword(s):

Variance Reduction ◽

Latin Hypercube Sampling ◽

Latin Hypercube ◽

Variance Reduction Techniques ◽

Reduction Techniques

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Variance reduction methods applied to deep-penetration Monte Carlo problems

10.2172/5970446 ◽

1986 ◽

Author(s):

S N Cramer ◽

J S Tang

Keyword(s):

Monte Carlo ◽

Variance Reduction ◽

Deep Penetration ◽

Reduction Methods

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Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions

Japanese Journal of Statistics and Data Science ◽

10.1007/s42081-021-00115-1 ◽

2021 ◽

Author(s):

Debanjan Mitra ◽

Debasis Kundu ◽

Narayanaswamy Balakrishnan

Keyword(s):

Model Selection ◽

Em Algorithm ◽

Censored Data ◽

Right Censored Data ◽

Stochastic Em Algorithm ◽

Likelihood Analysis ◽

Life Distributions ◽

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A variance reduction technique for hybrid computer generated random walk solutions of partial differential equations

10.1145/1476936.1476944 ◽

1970 ◽

Author(s):

Everett L. Johnson

Keyword(s):

Random Walk ◽

Partial Differential Equations ◽

Differential Equations ◽

Variance Reduction ◽

Reduction Technique ◽

Partial Differential ◽

Variance Reduction Technique ◽

Hybrid Computer

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Stochastic EM

Wiley StatsRef: Statistics Reference Online ◽

10.1002/9781118445112.stat08121 ◽

2018 ◽

pp. 1-4

Author(s):

Søren Feodor Nielsen

Keyword(s):

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Variance Reduction by Antithetic Variates inGI/G/1 Queuing Simulations

Operations Research ◽

10.1287/opre.21.4.988 ◽

1973 ◽

Vol 21 (4) ◽

pp. 988-997 ◽

Author(s):

Bill Mitchell

Keyword(s):

Variance Reduction ◽

Antithetic Variates

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