A basic course in probability theory
By Rabi N. Bhattacharya, E. Waymire. 2007
144 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/eb0b784179b0b51b91c772cd037741d8fd2ba38e
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In Statistics and Probability
Citations in the corpus
- Central Limit Theorem (2021, background): “Similarly, we may find a subsequence of this subsequence, denoted F n (2) k , such that n (2) 1 > n (1) 1 and Fn(2) k converges.”
- Stratification Trees for Adaptive Randomization in Randomized Controlled Trials (2018, methodology): “Because of this, the most common approaches to fit decision trees in statistics and machine learning are greedy: they begin by searching for a single partitioning of the data which minimizes the objective, and once this is found, the processes is repeated recursively on each of the new partitions (B”
- Conditioning-based metrics on the space of multivariate copulas and their interrelation with uniform and levelwise convergence and Iterated Function Systems (2015, background): “For more details and properties of conditional 95 expectation and regular conditional distributions see [19], [20] and [2], [3].”
- A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (2018, methodology): “cableinthissituation. Wealsowanttopointout that the integrabilityconditions in Assumption 4.2 are only required for the well-definedness of the conditionalexpectations and for the associated calculus, [88, 12]. 4.2. Second Order Properties and Bounded Invertibility. In this subsection, we derive a ge”