As Caras de Chernoff
نویسندگان
چکیده
منابع مشابه
Chernoff Bounds
If m = 2, i.e., P = (p, 1 − p) and Q = (q, 1 − q), we also write DKL(p‖q). The Kullback-Leibler divergence provides a measure of distance between the distributions P and Q: it represents the expected loss of efficiency if we encode an m-letter alphabet with distribution P with a code that is optimal for distribution Q. We can now state the general form of the Chernoff Bound: Theorem 1.1. Let X1...
متن کاملChernoff-Hoeffding Inequality
When dealing with modern big data sets, a very common theme is reducing the set through a random process. These generally work by making “many simple estimates” of the full data set, and then judging them as a whole. Perhaps magically, these “many simple estimates” can provide a very accurate and small representation of the large data set. The key tool in showing how many of these simple estima...
متن کاملHybrid Chernoff Tau-Leap
Markovian pure jump processes model a wide range of phenomena, including chemical reactions at the molecular level, dynamics of wireless communication networks, and the spread of epidemic diseases in small populations. There exist algorithms such as Gillespie’s stochastic simulation algorithm (SSA) and Anderson’s modified next reaction method (MNRM) that simulate a single path with the exact di...
متن کامل3 Chernoff Bound
Before we venture into Chernoff bound, let us recall Chebyshev's inequality which gives a simple bound on the probability that a random variable deviates from its expected value by a certain amount.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Augusto Guzzo Revista Acadêmica
سال: 2012
ISSN: 2316-3852,1518-9597
DOI: 10.22287/ag.v1i1.67