His main research concerns Discrete mathematics, Brownian motion, Convergence of random variables, Random variable and Invariance principle. His research on Discrete mathematics frequently links to adjacent areas such as Random element. In his research, Type is intimately related to Multivariate random variable, which falls under the overarching field of Random element.
Within one scientific family, Walter Philipp focuses on topics pertaining to Law of the iterated logarithm under Brownian motion, and may sometimes address concerns connected to Gibbs measure and Mathematical physics. His Convergence of random variables research incorporates elements of Dependent random variables, Central limit theorem and Pure mathematics. The study incorporates disciplines such as Stochastic process, Algebra of random variables and Topology in addition to Pure mathematics.
His primary areas of investigation include Discrete mathematics, Random variable, Pure mathematics, Combinatorics and Invariance principle. His Discrete mathematics research is multidisciplinary, incorporating elements of Hilbert space, Convergence of random variables, Random element and Brownian motion. As part of one scientific family, he deals mainly with the area of Convergence of random variables, narrowing it down to issues related to the Central limit theorem, and often Type.
His Random variable research includes elements of Stochastic process, Banach space and Mixing. His studies in Pure mathematics integrate themes in fields like Mathematical analysis and Stable law. Walter Philipp has researched Combinatorics in several fields, including Sequence and Pseudorandom number generator.
Walter Philipp spends much of his time researching Calculus, Probability theory, Discrete mathematics, Random variable and Theoretical physics. His Calculus research incorporates themes from Local hidden variable theory, No-go theorem, Superdeterminism, Bell test experiments and Kochen–Specker theorem. His Probability theory study incorporates themes from Mathematical proof, Type and Inequality.
He studied Discrete mathematics and Combinatorics that intersect with Omega. His Random variable research integrates issues from Einstein, Quantum algorithm and Special case. His Theoretical physics research is multidisciplinary, relying on both Ideal, Charge, Quantum optics and Artificial intelligence.
His scientific interests lie mostly in Mathematical proof, Probability theory, Calculus, Hidden variable theory and Axiom. His Calculus study combines topics from a wide range of disciplines, such as CHSH inequality, Mathematical economics, Counterfactual definiteness, Superdeterminism and Kochen–Specker theorem. Hidden variable theory and Joint probability distribution are frequently intertwined in his study.
His research in Axiom intersects with topics in Parameter space, Local parameter, Algebraic number and Pure mathematics.
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Almost sure invariance principles for partial sums of weakly dependent random variables
Walter Philipp;William F. Stout.
Memoirs of the American Mathematical Society (1975)
Almost sure invariance principles for partial sums of weakly dependent random variables
Walter Philipp;William F. Stout.
Memoirs of the American Mathematical Society (1975)
Approximation Thorems for Independent and Weakly Dependent Random Vectors
Istvan Berkes;Walter Philipp.
Annals of Probability (1979)
Approximation Thorems for Independent and Weakly Dependent Random Vectors
Istvan Berkes;Walter Philipp.
Annals of Probability (1979)
A note on the almost sure central limit theorem
Michael T. Lacey;Walter Philipp.
Statistics & Probability Letters (1990)
A note on the almost sure central limit theorem
Michael T. Lacey;Walter Philipp.
Statistics & Probability Letters (1990)
Empirical Process Techniques for Dependent Data
Herold Dehling;Walter Philipp.
(2002)
Empirical Process Techniques for Dependent Data
Herold Dehling;Walter Philipp.
(2002)
Almost Sure Invariance Principles for Partial Sums of Mixing $B$-Valued Random Variables
J. Kuelbs;Walter Philipp.
Annals of Probability (1980)
Almost Sure Invariance Principles for Partial Sums of Mixing $B$-Valued Random Variables
J. Kuelbs;Walter Philipp.
Annals of Probability (1980)
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