mTunes: Efficient Post-Silicon Tuning of Mixed-Signal/RF Integrated Circuits Based on Markov Decision Process Manzil Zaheer and Fa Wang Chenjie Gu

Source URL: manzil.ml

• Markov models
• Markov processes
• Probability theory
• Applied mathematics
• Statistics
• Receiver
• Dynamic programming
• Markov decision process
• Stochastic control
• Tuner
• Artificial neural network
• Tuning

Vida: How to use Bayesian inference to de-anonymize persistent communications George Danezis1 and Carmela Troncoso2 1 2

Source URL: www0.cs.ucl.ac.uk

• Statistics
• Statistical theory
• Probability
• Probability distributions
• Statistical inference
• IP
• Bayesian inference
• Gibbs sampling
• Markov chain
• Binomial distribution
• Bayesian network

SOME ASPECTS OF THE SEQUENTIAL DESIGN OF EXPERIMENTS HERBERT ROBBINS 1. Introduction. Until recently, statistical theory has been restricted to the design and analysis of sampling experiments in which the size and compos

Source URL: www.ams.org

• Statistics
• Statistical theory
• Sampling
• Statistical inference
• Design of experiments
• Hypothesis testing
• Sample size determination
• Expected value
• Probability distribution
• Variance
• Bias of an estimator
• Statistical hypothesis testing

Dynamic Models for File Sizes and Double Pareto Distributions Michael Mitzenmacher∗ Harvard University Abstract

Source URL: www.eecs.harvard.edu

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Actuarial science
• Power laws
• Normal distribution
• Log-normal distribution
• Pareto distribution
• Exponentials
• Heavy-tailed distribution
• Central limit theorem

Copula-Based Wind Resource Assessment Kalyan Veeramachaneni, Teasha Feldman-Fitzthum, Una-May O’Reilly ALFA Group, CSAIL, MIT {kalyan,unamay}@csail.mit.edu; Alfredo Cuesta-Infante Felipe II College, Uni

Source URL: groups.csail.mit.edu

• Statistics
• Probability
• Mathematical analysis
• Independence
• Actuarial science
• Estimation theory
• Regression analysis
• Multivariate statistics
• Copula
• Linear regression
• Correlation and dependence
• Joint probability distribution

Mortera, J. and Dawid, A. PProbability and evidence. In Handbook of Probability Theory with Applications, edited by T. Rudas. Sage Publications, 403–422. Available at https://www.ucl.ac.uk/statistics/research

Source URL: www.dcscience.net

ERRORS AND DIMENSIONALITY: A COPULA APPROACH Nassim Nicholas Taleb Real World Risk Institute Finally we offer a framework to gauge the tradeoff between

Source URL: dl.dropboxusercontent.com

• Independence
• Actuarial science
• Multivariate statistics
• Copula
• Probability distribution

The Appeal of Information Transactions Antonio Cabrales, Olivier Gossner and Roberto Serrano∗ September 2012 Abstract: An information transaction entails the purchase of information. Formally, it consists of an informa

Source URL: ogossner.free.fr

• Statistical theory
• Statistics
• Information theory
• Probability
• Choice modelling
• Utility
• Entropy
• KullbackLeibler divergence
• Expected utility hypothesis
• Economics
• Information

R EFLECTIONS O N THE C OMMENTS ABOUT O UR N ON N AÏVE P RECAUTIONARY P RINCIPLE To repeat, the gist of our paper is decision-making under opacity, fat tails, asymmetries, and systemic effects – in other words, the Fou

Source URL: www.fooledbyrandomness.com

• Statistics
• Academia
• Actuarial science
• Financial risk
• Probability distributions
• Normal distribution
• Value at risk
• Expected value
• Karl Popper
• Risk
• Errors and residuals
• Statistical hypothesis testing

Additive Gaussian Process Optimisation and Bandits A. Some Auxiliary Material A.1. Review of the GP-UCB Algorithm In this subsection we present a brief summary of the GP-UCB algorithm in (Srinivas et al., The alg

Source URL: jmlr.org

• Mathematical analysis
• Statistics
• Probability
• Normal distribution
• Fourier analysis