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doi.org
doi.org › 10.1007%2Fs10479-019-03373-1
Feb 21, 2026 — Conditional value-at-risk (CVaR) and value-at-risk, also called the superquantile and quantile, are frequently used to characterize the tails of probability distributions and are popular measures of r...
⏱ 23 min read
arxiv.org
arxiv.org › abs › 1811.11301
Feb 21, 2026 — Conditional Value-at-Risk (CVaR) and Value-at-Risk (VaR), also called the superquantile and quantile, are frequently used to characterize the tails of probability distribution's and are popular measur...
⏱ 5 min read
commons.wikimedia.org
commons.wikimedia.org › ...bility_distributions
Feb 22, 2026 —
⏱ 11 min read
www.allisons.org
allisons.org › ll › MML › KL › Normal
Feb 21, 2026 — Kullback Leibler (KL) Distance of Two Normal (Gaussian) Probability Distributions
⏱ 2 min read
firebase.google.com
firebase.google.com › products › app-distribution
Feb 20, 2026 — Manage both your iOS and Android pre-release distributions and get your apps onto testers' devices quickly so you can get feedback early and often.
⏱ 191 min read
firebase.google.com
firebase.google.com › › products › app-distribution
Feb 20, 2026 — Manage both your iOS and Android pre-release distributions and get your apps onto testers' devices quickly so you can get feedback early and often.
⏱ 191 min read
hdl.handle.net
hdl.handle.net › 10179%2F17315
Feb 21, 2026 — The behaviour of building occupants in the first stage of an evacuation can dramatically impact the time required to evacuate buildings. This behaviour has been widely investigated by scholars with a ...
⏱ 3 min read
books.google.com
books.google.com › books?id=tyXjBwAAQBAJ
Feb 22, 2026 — This book is a concise presentation of the normal distribution on the real line and its counterparts on more abstract spaces, which we shall call the Gaussian distributions. The material is selected t...
⏱ 3 min read
doi.org
doi.org › 10.1214%2Faos%2F1176348248
Feb 22, 2026 — Deconvolution problems arise in a variety of situations in statistics. An interesting problem is to estimate the density $f$ of a random variable $X$ based on $n$ i.i.d. observations from $Y = X + \va...
⏱ 4 min read
doi.org
doi.org › 10.1214%2Faos%2F1176344123
Feb 22, 2026 — The history of mathematical statistics in the United States prior to 1885 is reviewed, with emphasis upon the works of Robert Adrain, Benjamin and Charles Peirce, Simon Newcomb, and Erastus De Forest....
⏱ 4 min read
