Negative probability

Results: 75



#Item
1Exercises 3: unconstrained maximization Let’s investigate Fact 1 from Daniel Wilhelm’s lecture notes. Fact 1: 1. if f has a local max (min) at point x∗ , then Df (x∗ ) = 0 and D2 f (x∗ ) is negative (positive)

Exercises 3: unconstrained maximization Let’s investigate Fact 1 from Daniel Wilhelm’s lecture notes. Fact 1: 1. if f has a local max (min) at point x∗ , then Df (x∗ ) = 0 and D2 f (x∗ ) is negative (positive)

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Source URL: dl.dropboxusercontent.com

Language: English
2MAYJAGGER AND ELSNER 869

MAYJAGGER AND ELSNER 869

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Source URL: myweb.fsu.edu

Language: English - Date: 2016-08-22 10:16:27
3AACL BIOFLUX Aquaculture, Aquarium, Conservation & Legislation International Journal of the Bioflux Society Zeroes do matter: the tale of the missing fishes in Cabilao Island Bohol, Philippines

AACL BIOFLUX Aquaculture, Aquarium, Conservation & Legislation International Journal of the Bioflux Society Zeroes do matter: the tale of the missing fishes in Cabilao Island Bohol, Philippines

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Source URL: www.bioflux.com.ro

Language: English - Date: 2011-11-12 16:55:50
4Chapter 2  Probability Distributions In this chapter we will describe the most common probability distribution functions encountered in high energy physics.  2.1

Chapter 2 Probability Distributions In this chapter we will describe the most common probability distribution functions encountered in high energy physics. 2.1

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Source URL: ihp-lx.ethz.ch

Language: English - Date: 2015-03-31 05:26:54
5Example Combinatorial Proof October 11, 2015 Theorem 1. For all non-negative n, k ∈ Z,      

Example Combinatorial Proof October 11, 2015 Theorem 1. For all non-negative n, k ∈ Z,      

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Source URL: math.colorado.edu

Language: English - Date: 2015-12-04 19:21:56
6A method to account for and estimate underreporting in crash frequency research

A method to account for and estimate underreporting in crash frequency research

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Source URL: cfariss.com

Language: English - Date: 2016-07-13 20:49:51
7Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions by Jean-Philippe Boucher, Michel Denuit, and Montserrat Guillén

Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions by Jean-Philippe Boucher, Michel Denuit, and Montserrat Guillén

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Source URL: www.variancejournal.org

Language: English - Date: 2008-06-30 10:20:05
8Extreme Negative Dependence and Risk Aggregation Bin Wang∗ and Ruodu Wang† January 22, 2015 Abstract We introduce the concept of an extremely negatively dependent (END) sequence of random variables with a given commo

Extreme Negative Dependence and Risk Aggregation Bin Wang∗ and Ruodu Wang† January 22, 2015 Abstract We introduce the concept of an extremely negatively dependent (END) sequence of random variables with a given commo

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Source URL: sas.uwaterloo.ca

Language: English - Date: 2015-01-22 22:51:14
9Non-Parametric Discrete Mixture Model Recovery via Nonnegative Matrix Factorization Stefan Karpinski, John R. Gilbert, Elizabeth M. Belding Department of Computer Science University of California, Santa Barbara {sgk,gilb

Non-Parametric Discrete Mixture Model Recovery via Nonnegative Matrix Factorization Stefan Karpinski, John R. Gilbert, Elizabeth M. Belding Department of Computer Science University of California, Santa Barbara {sgk,gilb

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Source URL: karpinski.org

Language: English - Date: 2016-04-13 16:19:52
10SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering Jianping Shi† Naiyan Wang‡ Yang Xia† Dit-Yan Yeung‡ Irwin King† Jiaya Jia† Department of Computer Science and Engineering, The Chinese

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering Jianping Shi† Naiyan Wang‡ Yang Xia† Dit-Yan Yeung‡ Irwin King† Jiaya Jia† Department of Computer Science and Engineering, The Chinese

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Source URL: shijianping.me

Language: English - Date: 2013-04-24 04:04:56