The Selberg trace formula for groups of F-rank one Introduction An important tool for the study of automorphic forms is a nonabelian analogue of the Poisson summation formula, generally known as

Source URL: www2.maths.ox.ac.uk

• Operator theory
• Topological groups
• Algebraic number field
• Algebraic number theory
• Field theory
• Normal subgroup
• Group action
• Induced representation
• Plancherel theorem for spherical functions
• Abstract algebra
• Algebra
• Group theory

Stick-Breaking Beta Processes and the Poisson Process 1 John Paisley1 David M. Blei3 Michael I. Jordan1,2 Department of EECS, 2 Department of Statistics, UC Berkeley

Source URL: www.cs.princeton.edu

• Poisson process
• Gamma distribution
• Markov chain
• Dirichlet process
• Ordinal number
• Statistics
• Markov processes
• Stochastic processes

NEUBrew CountsAndNoise.pdf NOAA-EPA Brewer Network File Name

Source URL: www.esrl.noaa.gov

• Poisson process
• Dead time

Supplementary Materials for Distance Dependent Infinite Latent Feature Models 2 Samuel J. Gershman1 , Peter I. Frazier2 and David M. Blei3

Source URL: www.cs.princeton.edu

• Markov processes
• Poisson distribution
• Gamma distribution
• Markov chain
• Conjugate prior
• Statistics
• Mathematical analysis
• Probability and statistics

A Frequency-Dependence Model for the Ultra-Wideband Channel based on Propagation Events Camillo Gentile and Alfred Kik National Institute of Standards and Technology Wireless Communication Technologies Group

Source URL: w3.antd.nist.gov

• Radio technology
• Data transmission
• Radio
• Ultra-wideband
• Poisson process
• Fading
• Microwave
• Radio propagation
• Non-line-of-sight propagation
• Statistics
• Telecommunications engineering
• Technology

VUE D’ENSEMBLE DU CADRE LÉGISLATIF La protection, la propriété, la répartition, l’utilisation et la gestion du poisson et de son habitat au Manitoba sont régies par la constitution canadienne, les traités dumen

Source URL: www.gov.mb.ca

2394 • The Journal of Neuroscience, March 15, 2003 • 23(6):2394 –2406 Decoding Spike Trains Instant by Instant Using Order Statistics and the Mixture-of-Poissons Model Matthew C. Wiener and Barry J. Richmond Labor

Source URL: neuron.nimh.nih.gov

• Nervous system
• Neurophysiology
• Neural networks
• Electrophysiology
• Neural coding
• Peristimulus time histogram
• Poisson distribution
• Probability distribution
• Action potential
• Computational neuroscience
• Neuroscience
• Biology

Bayesian Nonparametric Poisson Factorization for Recommendation Systems Prem Gopalan Princeton University

Source URL: www.cs.princeton.edu

• Variational Bayesian methods
• Mixture model
• Poisson distribution
• Collaborative filtering
• Dirichlet process
• Bayesian inference
• Recommender system
• Gamma distribution
• Markov chain
• Statistics
• Bayesian statistics
• Expectation–maximization algorithm

Multinomial regression for analyzing macroinvertebrate assemblage composition data Author(s): Song S. QianThomas F. CuffneyGerald McMahon Source: Freshwater Science, 31(3):[removed]Published By: The Society for Fre

Source URL: water.usgs.gov

• Categorical data
• Actuarial science
• Statistical models
• Multinomial
• Generalized linear model
• Logit
• Linear regression
• Poisson regression
• Abundance
• Statistics
• Econometrics
• Regression analysis

Demography 213 Messing with the assumptions underlying the Cox Proportional Hazard Model Carl Mason [removed] November 10, 2014

Source URL: demog.berkeley.edu

• Poisson processes
• Exponentials
• Survival analysis
• Proportional hazards models
• Linear regression
• Exponential function
• Exponential distribution
• Interpolation
• Statistics
• Regression analysis
• Econometrics