University of Potsdam, Institute for Physics SS 2006 Nonlinear Data Analysis and Modeling in Sciences Lectures on Thu 15:15-16:45 & Fri 11:00-12:30, room & J. Kurths & M. Thiel

Source URL: www.agnld.uni-potsdam.de

• Normal distribution
• Poisson distribution
• Characteristic function
• Generating functions
• Mathematical analysis
• Statistics
• Probability theory

LES PRODUITS " PANIER FRAÎCHEUR" LA RECETTE DE VOTRE PRODUCTEUR " PANIER FRAÎCHEUR" Pavé de poisson et poêlée de carottes,

Source URL: www.transilien.com

Anders and Huber Genome Biology 2010, 11:R106 http://genomebiology.comR106 METHOD Open Access

Source URL: www.genomebiology.com

• Statistical inference
• Categorical data
• Regression analysis
• Variance
• Resampling
• Poisson distribution
• Normal distribution
• Count data
• F-test
• Statistics
• Statistical tests
• Data analysis

Biostatistics 551 Introduction to Biostatistics for Population Health Fall 2012 Instructor: Sijian Wang, Ph.D.

Source URL: pophealth.wisc.edu

• Hypothesis testing
• Psychometrics
• Statistical theory
• Confidence interval
• Normal distribution
• Regression analysis
• Poisson distribution
• Statistical hypothesis testing
• Sample size determination
• Statistics
• Statistical inference
• Econometrics

Second-order analysis of structured inhomogeneous spatio-temporal point processes October 5, 2010 Jesper Møller Department of Mathematical Sciences, Aalborg University Mohammad Ghorbani

Source URL: people.math.aau.dk

• Stochastic processes
• Poisson process
• Mathematical analysis

1 Exercises Chapter 1 1. Generate spikes for 10 s (or longer if you want better statistics) using a Poisson spike generator with a constant rate of 100 Hz, and record

Source URL: www.gatsby.ucl.ac.uk

• Nervous system
• Electrophysiology
• Neurophysiology
• Neural coding
• Spike-triggered average
• Poisson process
• Action potential
• Linear-nonlinear-Poisson cascade model
• Computational neuroscience
• Biology
• Neuroscience

Figure 1: The collaborative topic Poisson factorization model (CTPF). A Stochastic variational inference for the collaborative topic Poisson factorization model

Source URL: www.cs.toronto.edu

• Machine learning
• Latent Dirichlet allocation
• Stochastic approximation
• Mathematics
• Mathematical optimization
• Bayesian statistics
• Evolutionary algorithms
• Dynamic topic model
• Stochastic optimization
• Statistics
• Statistical natural language processing

Content-based recommendations with Poisson factorization Prem Gopalan, Laurent Charlin, David M. Blei Department of Computer Science Princeton University Princeton, NJ 08540

Source URL: www.cs.toronto.edu

• Expectation–maximization algorithm
• Poisson distribution
• Non-negative matrix factorization
• Recommender system
• Collaborative filtering
• Topic model
• Information retrieval
• Gamma distribution
• Latent variable
• Statistics
• Statistical natural language processing
• Latent Dirichlet allocation

D:k_Tut_07ro_tut07_tut_part_1.dvi

Source URL: www.brucehardie.com

• Econometrics
• Maximum likelihood
• Likelihood function
• Fisher information
• Poisson regression
• Estimation theory
• Statistics
• Statistical theory

Microsoft Word - STAT811 unit outline 2009.doc

Source URL: stat.mq.edu.au

• Generalized additive model
• Poisson regression
• Quasi-likelihood
• Overdispersion
• Linear regression
• Deviance
• Additive model
• SAS
• Count data
• Statistics
• Regression analysis
• Generalized linear model