This paper )+O(1) Non-explicit [10,9] )+O(1) Lower bound [6, 9] 2. Preliminaries 2.1. Probability distributions and Random Variables A probability distribution X over , is a function X : ! [0; 1] such that \Sigma a2 X(a)= 1. We define the distance between two distributions using the l 1 norm: Definition 3. (statistical distance) Two distributions X and Y over the same space have statistical distance d(X; Y ) = 1 jX \Gamma Y j 1 = 1 a2 jX(a) \Gamma Y (a)j: If d(X;Y ) ffl we say X is ffl close to
<p>The distance distributions for the benign data (top) and the cancer data (bottom).</p
Abstract. This note reviews, compares and contrasts three notions of “dis-tance ” or “size ” that ar...
We consider a one-dimensional system consisting of a single partially absorbing trap in the presence...
Given a probability distribution p = (p1., pn) and an integer m < n, what is the probability dist...
Given an exponential distribution g(x) and the information in terms of moments of the random variabl...
Let F(x1,…,xk) and G(x1,…,xk)=FX1(x1)…FXk, where FXi(xi), 1 ≤ i ≤ k, are the one-dimensi...
Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage...
Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage...
Abstract — With increasing use of digital control it is natural to view control inputs and outputs a...
We study the distributions of distances between identical elements of a random sequence (e.g. a seq...
Approximating distributions from their samples is a canonical statistical-learning problem. One of i...
We prove nearly matching upper and lower bounds on the randomized communication complexity of the fo...
Total variation distance (TV distance) is a fundamental notion of distance between probability distr...
Abstract. We determine the probability distribution for the dis-tance between two random points in a...
Abstract — In this paper we define a metric distance between probability distributions on two distin...
<p>The distance distributions for the benign data (top) and the cancer data (bottom).</p
Abstract. This note reviews, compares and contrasts three notions of “dis-tance ” or “size ” that ar...
We consider a one-dimensional system consisting of a single partially absorbing trap in the presence...
Given a probability distribution p = (p1., pn) and an integer m < n, what is the probability dist...
Given an exponential distribution g(x) and the information in terms of moments of the random variabl...
Let F(x1,…,xk) and G(x1,…,xk)=FX1(x1)…FXk, where FXi(xi), 1 ≤ i ≤ k, are the one-dimensi...
Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage...
Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage...
Abstract — With increasing use of digital control it is natural to view control inputs and outputs a...
We study the distributions of distances between identical elements of a random sequence (e.g. a seq...
Approximating distributions from their samples is a canonical statistical-learning problem. One of i...
We prove nearly matching upper and lower bounds on the randomized communication complexity of the fo...
Total variation distance (TV distance) is a fundamental notion of distance between probability distr...
Abstract. We determine the probability distribution for the dis-tance between two random points in a...
Abstract — In this paper we define a metric distance between probability distributions on two distin...
<p>The distance distributions for the benign data (top) and the cancer data (bottom).</p
Abstract. This note reviews, compares and contrasts three notions of “dis-tance ” or “size ” that ar...
We consider a one-dimensional system consisting of a single partially absorbing trap in the presence...