Gaussian
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications eBooks & eLearning
Posted by interes at March 8, 2019
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications by Vidyadhar S. Mandrekar and Leszek Gawarecki
English | 2015 | ISBN: 1498707815 | 201 pages | PDF | 2,5 MB
English | 2015 | ISBN: 1498707815 | 201 pages | PDF | 2,5 MB
VaR Methodology for Non-Gaussian Finance eBooks & eLearning
Posted by arundhati at April 5, 2019
Marine Habart-Corlosquet, Jacques Janssen, "VaR Methodology for Non-Gaussian Finance"
2013 | 176 Pages | ISBN: 1848214642 | PDF | 3 MB
2013 | 176 Pages | ISBN: 1848214642 | PDF | 3 MB
Master Computational Chemistry Simulations with Gaussian eBooks & eLearning
Posted by lucky_aut at May 28, 2025
Master Computational Chemistry Simulations with Gaussian
Published 5/2025
Duration: 5h 59m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 2.16 GB
Genre: eLearning | Language: English
Published 5/2025
Duration: 5h 59m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 2.16 GB
Genre: eLearning | Language: English
Unlock the power of Gaussian for computational chemistry simulations in solving problem—designed for complete beginners
VaR Methodology for Non-Gaussian Finance eBooks & eLearning
Posted by advisors at Aug. 2, 2013
VaR Methodology for Non-Gaussian Finance By Marine Habart-Corlosquet, Jacques Janssen, Raimondo Manca
2013 | 176 Pages | ISBN: 1848214642 | PDF | 3 MB
2013 | 176 Pages | ISBN: 1848214642 | PDF | 3 MB
Gaussian Process Regression for Bayesian Machine Learning eBooks & eLearning
Posted by Sigha at May 31, 2020
Gaussian Process Regression for Bayesian Machine Learning
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 262 MB
Genre: eLearning Video | Duration: 11 lectures (54 mins) | Language: English
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 262 MB
Genre: eLearning Video | Duration: 11 lectures (54 mins) | Language: English
Acquire a powerful probabilistic modelling tool for modern machine learning, with fundamentals and application in Python.
Statistical Modeling Using Local Gaussian Approximation eBooks & eLearning
Posted by yoyoloit at Oct. 14, 2021
Statistical Modeling Using Local Gaussian Approximation
by Tjostheim, Dag
English | 2021 | ISBN: 0128158611 | 460 pages | True PDF EPUB | 52.83 MB
by Tjostheim, Dag
English | 2021 | ISBN: 0128158611 | 460 pages | True PDF EPUB | 52.83 MB
Gaussian Process Regression Analysis for Functional Data (repost) eBooks & eLearning
Posted by arundhati at Aug. 19, 2014
Jian Qing Shi, "Gaussian Process Regression Analysis for Functional Data"
2011 | ISBN: 1439837732 | 216 pages | PDF | 4 MB
2011 | ISBN: 1439837732 | 216 pages | PDF | 4 MB
Gaussian Process Regression Analysis for Functional Data (Repost) eBooks & eLearning
Posted by roxul at Jan. 22, 2016
Jian Qing Shi, "Gaussian Process Regression Analysis for Functional Data"
English | 2011 | ISBN: 1439837732 | 216 pages | PDF | 4 MB
English | 2011 | ISBN: 1439837732 | 216 pages | PDF | 4 MB
Gaussian Process Regression Analysis for Functional Data (Repost) eBooks & eLearning
Posted by DZ123 at Nov. 5, 2019
Jian Qing Shi, Taeryon Choi, "Gaussian Process Regression Analysis for Functional Data"
English | 2011 | ISBN: 1439837732 | PDF | pages: 214 | 2.1 mb
English | 2011 | ISBN: 1439837732 | PDF | pages: 214 | 2.1 mb
Theory and Applications of Gaussian Quadrature Methods eBooks & eLearning
Posted by AvaxGenius at Sept. 19, 2022
Theory and Applications of Gaussian Quadrature Methods by Narayan Kovvali
English | PDF | 2011 | 65 Pages | ISBN : 1608457532 | 0.6 MB
Gaussian quadrature is a powerful technique for numerical integration that falls under the broad category of spectral methods. The purpose of this work is to provide an introduction to the theory and practice of Gaussian quadrature. We study the approximation theory of trigonometric and orthogonal polynomials and related functions and examine the analytical framework of Gaussian quadrature. We discuss Gaussian quadrature for bandlimited functions, a topic inspired by some recent developments in the analysis of prolate spheroidal wave functions. Algorithms for the computation of the quadrature nodes and weights are described. Several applications of Gaussian quadrature are given, ranging from the evaluation of special functions to pseudospectral methods for solving differential equations. Software realization of select algorithms is provided.