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Tight Bounds for Joint Distribution Functions of Order Statistics Under <i>k</i>-Independence. [PDF]
Okolewski A, Blazejczyk-Okolewska B.
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Does Temporary Baiting Affect White-Tailed Deer Space Use and Movement? New Insights Leveraging Subhourly Location Data. [PDF]
Stewart DG +6 more
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Joint Probability Distribution for Noncommutative Variables
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Joint Probability Distribution Regression for Image Cropping
2023 IEEE International Conference on Image Processing (ICIP), 2023Image cropping aims at locating a candidate (rectangle region) with the highest aesthetic quality in professional photography. One solution of the previous methods is to generate a large number of candidates and then filter them, which leads to low ...
Tengfei Shi +4 more
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Joint probability distribution of nonmarkovian SDE
Zeitschrift f�r Physik B Condensed Matter, 1983We obtain a time convolutionless partial differential equation for the two events joint probability distribution of nonmarkovian processes defined by stochastic differential equations with colored noise. As an example we discuss nonmarkovian brownian motion.
A. Hern�ndez-Machado +3 more
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Wind Farm Layout Optimization Problem Using Joint Probability Distribution of CVaR Analysis
Computing and Communication Workshop and Conference, 2019This study proposes the optimal layout of an offshore wind farm (WF) allocation for a number (N) of wind turbines (WTs) in a 2 km × 2 km fixed area. The paper aims to maximize expected WF power output and efficiency, considering the joint probability ...
Ramin Farajifijani +3 more
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Approximating Joint Probability Distributions Given Partial Information
Decision Analysis, 2013In this paper, we propose new methods to approximate probability distributions that are incompletely specified. We compare these methods to the use of maximum entropy and quantify the accuracy of all methods within the context of an illustrative example.
Montiel, Luis V., Bickel, J. Eric
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Joint Probability Distributions
2011In Chapters 3 and 4, we studied probability models for a single random variable. Many problems in probability and statistics lead to models involving several random variables simultaneously. In this chapter, we first discuss probability models for the joint behavior of several random variables, putting special emphasis on the case in which the ...
Jay L. Devore, Kenneth N. Berk
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