<--- Back to Details
First PageDocument Content
Statistical theory / Information theory / Randomness / Poisson processes / Probability theory / Maximum entropy probability distribution / Principle of maximum entropy / Kullback–Leibler divergence / Exponential distribution / Statistics / Probability and statistics / Mathematical analysis
Date: 2011-11-29 06:50:37
Statistical theory
Information theory
Randomness
Poisson processes
Probability theory
Maximum entropy probability distribution
Principle of maximum entropy
Kullback–Leibler divergence
Exponential distribution
Statistics
Probability and statistics
Mathematical analysis

Maximum Entropy Inference for Mixed Continuous-Discrete Variables

Add to Reading List

Source URL: www.fernuni-hagen.de

Download Document from Source Website

File Size: 357,27 KB

Share Document on Facebook

Similar Documents

Graph theory / Dimension / Isoperimetric dimension / Mathematical analysis / Cheeger constant / Planar graph / Vertex-transitive graph / Expander graph / Graph / Connectivity / Regular graph / End

Coarse Geometry and Randomness Itai Benjamini October 30, 2013 Contents 1 Introductory graph and metric notions

DocID: 1xW27 - View Document

Quantum mechanics / Physics / Theoretical computer science / Quantum information science / Cryptography / Quantum measurement / Statistical randomness / Information theory / Randomness extractor / Randomness / Random number generation / Pseudorandomness

Lecture 15, Thurs March 9: Einstein-Certified Randomness Until recently, the Bell inequality was taught because it was historically and conceptually important, not because it had any practical applications. Sure, it esta

DocID: 1xV1Y - View Document

Cryptography / Stream ciphers / Salsa20 / VEST / Tiny Encryption Algorithm / Keystream / ESTREAM / ICE / Weak key / Data Encryption Standard / Indocrypt

Non-randomness in eSTREAM Candidates Salsa20 and TSC-4 Simon Fischer1 , Willi Meier1 , Cˆ ome Berbain , Jean-Fran¸cois Biasse2 , and M.J.B. Robshaw2 2

DocID: 1xUnW - View Document

Computational complexity theory / Randomized algorithms / Analysis of algorithms / With high probability / PP / IP / RP / P / Freivalds' algorithm

COSC 544 Probabilistic Proof SystemsThe Power of Randomness: Fingerprinting and Freivalds’ Algorithm Lecturer: Justin Thaler

DocID: 1xT7p - View Document

Randomness vs. Time: De-randomization under a uniform assumption Russell Impagliazzo∗ Department of Computer Science University of California San Diego, CA

DocID: 1vs6Y - View Document