Upper and Lower Bounds for Stochastic Processes

Upper and Lower Bounds for Stochastic Processes

Decomposition Theorems

Talagrand, Michel

Springer Nature Switzerland AG

12/2021

726

Dura

Inglês

9783030825942

15 a 20 dias

1274

Descrição não disponível.
1. What is This Book About? Part I The Generic Chaining.- 2 Gaussian Processes and the Generic Chaining.- 3 Trees and Other Measures of Size.- 4 Matching Theorems.- Part II Some Dreams Come True.- 5 Warming Up with p-Stable Processes.- 6 Bernoulli Processes.- 7 Random Fourier Series and Trigonometric Sums.- 8 Partitioning Scheme and Families of Distances.- 9 Peaky Part of Functions.- 10 Proof of the Bernoulli Conjecture.- 11 Random Series of Functions.- 12 Infinitely Divisible Processes.- 13 Unfulfilled Dreams.- Part III Practicing.- 14 Empirical Processes, II.- 15 Gaussian Chaos.- 16 Convergence of Orthogonal Series; Majorizing Measures.- 17 Shor's Matching Theorem.- 18 The Ultimate Matching Theorem in Dimension Three.- 19 Application to Banach Space Theory.- A Discrepancy for Convex Sets.- B Some Deterministic Arguments.- C Classical View of Infinitely Divisible Processes.- D Reading Suggestions.- E Research Directions.- F Solutions of Selected Exercises.- G Comparison withthe First Edition.- References.- Index.
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Gaussian processes;Sample boundedness;Majorizing measure theorem;Matching theorems;Ultimate matching conjecture;Random Fourier series;Bernoulli conjecture;Infinitely divisible processes;Gaussian chaos;Random series of functions;Empirical processes;Lambda-p problem