Results 1 to 10 of about 2,328,427 (283)

Time Series Data Anomaly Detection Based on Total Variation Ratio Separation Distance [PDF]

open access: yesJisuanji kexue, 2022
Anomaly detection for time series data is one of the important research problems in data analysis.Its main challenge is to detect if there are any anomalies and locate anomalies with low delay according to context.Most of existing anomaly detection ...
XU Tian-hui, GUO Qiang, ZHANG Cai-ming
doaj   +1 more source

A simple polynomial-time approximation algorithm for the total variation distance between two product distributions [PDF]

open access: yesTheoretiCS, 2023
We give a simple polynomial-time approximation algorithm for the total variation distance between two product distributions.
Weiming Feng   +3 more
doaj   +1 more source

Mixing times for two classes of stochastically modeled reaction networks

open access: yesMathematical Biosciences and Engineering, 2023
The past few decades have seen robust research on questions regarding the existence, form, and properties of stationary distributions of stochastically modeled reaction networks.
David F. Anderson, Jinsu Kim
doaj   +1 more source

Survey of Distances between the Most Popular Distributions

open access: yesAnalytics, 2023
We present a number of upper and lower bounds for the total variation distances between the most popular probability distributions. In particular, some estimates of the total variation distances in the cases of multivariate Gaussian distributions ...
Mark Kelbert
doaj   +1 more source

The Interplay between Error, Total Variation, Alpha-Entropy and Guessing: Fano and Pinsker Direct and Reverse Inequalities

open access: yesEntropy, 2023
Using majorization theory via “Robin Hood” elementary operations, optimal lower and upper bounds are derived on Rényi and guessing entropies with respect to either error probability (yielding reverse-Fano and Fano inequalities) or total variation ...
Olivier Rioul
doaj   +1 more source

Refined Pinsker’s and Reverse Pinsker’s Inequalities for Probability Distributions of Different Dimensions

open access: yesIEEE Access, 2022
We provide optimal lower and upper bounds for the augmented Kullback-Leibler divergence in terms of the augmented total variation distance between two probability measures defined on two Euclidean spaces having different dimensions.
Michele Caprio
doaj   +1 more source

What scientific folklore knows about the distances between the most popular distributions [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2022
We present a number of upper and low bounds for the total variation distances between the most popular probability distributions. In particular, some estimates of the total variation distances between one-dimensional Gaussian distributions, between two ...
Kelbert, Mark Yakovlevich   +1 more
doaj   +1 more source

Convergence in Total Variation of Random Sums

open access: yesMathematics, 2021
Let (Xn) be a sequence of real random variables, (Tn) a sequence of random indices, and (τn) a sequence of constants such that τn→∞. The asymptotic behavior of Ln=(1/τn)∑i=1TnXi, as n→∞, is investigated when (Xn) is exchangeable and independent of (Tn ...
Luca Pratelli, Pietro Rigo
doaj   +1 more source

Effect of distance between the hulls variation on the total resistance of a catamaran

open access: yesAnnals of "Dunărea de Jos" University of Galaţi: Fascicle XI Shipbuilding, 2023
The purpose of this study case is to assess the total resistance and investigate the fluid flow around a scale model catamaran varying distance between the diametral planes of the two hulls.
Constantin Petre Dițu   +2 more
doaj   +1 more source

Bound for an Approximation of Invariant Density of Diffusions via Density Formula in Malliavin Calculus

open access: yesMathematics, 2023
The Kolmogorov and total variation distance between the laws of random variables have upper bounds represented by the L1-norm of densities when random variables have densities.
Yoon-Tae Kim, Hyun-Suk Park
doaj   +1 more source

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