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Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs ...Savoir plus
Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arise...Savoir plus
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The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the...Savoir plus
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Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric s...Savoir plus
This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of math...Savoir plus
Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the...Savoir plus
The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the...Savoir plus
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties ...Savoir plus
This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in st...Savoir plus
During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances ha...Savoir plus
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties ...Savoir plus
This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of math...Savoir plus
Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arise...Savoir plus
Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the...Savoir plus