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1993, Oxford science publications., ISBN 0198522436, vii, 256
Book
1989, Statistics, textbooks and monographs, ISBN 0824779975, Volume 95, viii, 213
Book
1976, Probability and mathematical statistics ; v. 31., ISBN 0122264606, Volume 31., xi, 333
Book
IEEE Signal Processing Letters, ISSN 1070-9908, 12/2012, Volume 19, Issue 12, pp. 876 - 879
Journal Article
1982, Lecture notes in statistics, ISBN 0387906657, Volume 9., 188
Book
European Journal of Operational Research, ISSN 0377-2217, 05/2015, Volume 243, Issue 1, pp. 190 - 199
Condition-based maintenance has been proven effective in reducing unexpected failures with minimum operational costs. This study considers an optimal... 
Optimal replacement | Heterogeneity | Inverse Gaussian process | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SIGNALS | REMAINING USEFUL LIFE | SYSTEMS | OPTIMIZATION | REPLACEMENT POLICIES | Analysis | Cost control | Gaussian processes | Degradation | Policies | Sensitivity analysis | Mathematical models | Gaussian | Inverse | Maintenance | Optimization
Journal Article
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2018, Volume 27, Issue 11, pp. 5707 - 5722
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 01/2015, Volume 110, Issue 509, pp. 159 - 174
In this article, we propose a Bayesian approach to inference on multiple Gaussian graphical models. Specifically, we address the problem of inferring multiple... 
Protein network | G-Wishart prior | Markov random field | INVERSE COVARIANCE ESTIMATION | LASSO | GENE-EXPRESSION | STATISTICS & PROBABILITY | VARIABLE-SELECTION | protein network | Gaussian graphical model | Bayesian inference
Journal Article
IIMB Management Review, ISSN 0970-3896, 09/2019, Volume 31, Issue 3, pp. 238 - 249
This paper models Nifty spot prices using frameworks based on Gaussian distribution (geometric Brownian motion) and non-Gaussian distributions, viz. normal... 
Normal inverse Gaussian distribution | Geometric Brownian motion | Stock index | Tsallis distribution | Usage | Spot market | Stocks | Gaussian distribution | Prices and rates | Distribution (Probability theory) | Models | Comparative analysis
Journal Article
Signal Processing, ISSN 0165-1684, 01/2020, Volume 166, p. 107236
This paper studies the design of efficient detector for radar targets in compound-Gaussian clutter with inverse Gaussian texture (CG-IG clutter). Due to... 
Inverse Gaussian texture | Near-optimum detection | Compound-Gaussian clutter
Journal Article
Journal Article
Reliability Engineering and System Safety, ISSN 0951-8320, 10/2014, Volume 130, pp. 175 - 189
This paper conducts a Bayesian analysis of inverse Gaussian process models for degradation modeling and inference. Novel features of the Bayesian analysis are... 
Random effects | Bayesian method | Inverse Gaussian process | Degradation model | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | PRIOR DISTRIBUTIONS | RELIABILITY | ENGINEERING, INDUSTRIAL | FAILURE | Gaussian processes | Degradation | Sensitivity analysis | Data sets | On-line systems | Mathematical models | Gaussian | Inverse | Bayesian analysis
Journal Article
Journal of Computational Physics, ISSN 0021-9991, 11/2017, Volume 348, pp. 683 - 693
This work leverages recent advances in probabilistic machine learning to discover governing equations expressed by parametric linear operators. Such equations... 
Uncertainty quantification | Inverse problems | Fractional differential equations | Functional genomics | Probabilistic machine learning | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MODELS | PHYSICS, MATHEMATICAL | Analysis | Differential equations | Gaussian processes | Machine learning | Mechanical engineering
Journal Article
Physica D: Nonlinear Phenomena, ISSN 0167-2789, 04/2012, Volume 241, Issue 7, pp. 775 - 788
We present a fully deterministic method to compute sequential updates for stochastic state estimates of dynamic models from noisy measurements. It does not... 
Bayesian estimation | White noise analysis | Polynomial chaos expansion | Kalman filter | Inverse problem | MATHEMATICS, APPLIED | PHYSICS, MULTIDISCIPLINARY | ENSEMBLE KALMAN FILTER | GROWTH | DATA ASSIMILATION | PHYSICS, MATHEMATICAL | Computation | Mathematical analysis | Gaussian | Mathematical models | Stochasticity | Kalman filters | Bayesian analysis | Estimates
Journal Article