Introduction to Systems Biology Stochastic Process Algebra Modelling Biochemical Pathways with Stochastic Process Algebra

Source URL: homepages.inf.ed.ac.uk

Process algebra and Markov processes The nature of synchronisation Equivalence relations Case study: active badges Summary From Markov to Milner and back: Stochastic process algebras Jane Hillston School of Informatics

Source URL: homepages.inf.ed.ac.uk

Probabilistic Modeling and Model Checking Erika Ábrahám RWTH Aachen University, Germany SFM’14 Tutorial June 17, 2014

Source URL: www.sti.uniurb.it

• Probability
• Probabilistic complexity theory
• Probability theory
• PRISM model checker
• Software
• Sample space
• Model checking
• Stochastic process
• Randomized algorithm

8 Brownian motion and Itô calculus Brownian motion is a continuous analogue of simple random walks (as described in the previous part), which is very important in many practical applications. This importance has its ori

Source URL: www.cmap.polytechnique.fr

• Probability theory
• Stochastic processes
• Mathematical analysis
• Probability
• Brownian motion
• It calculus
• FeynmanKac formula
• Stochastic calculus
• Quadratic variation
• Lvy process
• It diffusion
• Wiener process

Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles

Source URL: www.stat.ucla.edu

• Statistics
• Statistical models
• Stochastic processes
• Linear filters
• Bayesian statistics
• Estimation theory
• Gibbs sampling
• Normal distribution
• Kalman filter
• Mixture model
• Bayesian network
• Gaussian process

Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork Bradley Hayes and Brian Scassellati Yale University Computer Science Department New Haven, CT 06511

Source URL: bradhayes.info

• Artificial intelligence
• Robotics
• Dynamic programming
• Markov processes
• Stochastic control
• Machine learning
• Probability theory
• Probability
• Partially observable Markov decision process
• Humanoid robot
• Reinforcement learning
• Humanrobot interaction

Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row

Source URL: www.cs.toronto.edu

• Statistics
• Probability
• Statistical theory
• Probability distributions
• Statistical models
• Bayesian statistics
• Stochastic processes
• Graphical models
• Bayesian network
• Gibbs sampling
• Dirichlet process
• Mixture model

RANDOM-PLAYER GAMES* Igal Milchtaich Department of Economics, Bar-Ilan University, Ramat Gan 52900, Israel Email: Web: http://faculty.biu.ac.il/~milchti Abstract. This paper introduces general g

Source URL: faculty.biu.ac.il

• Mathematical analysis
• Probability
• Stochastic processes
• Probability theory
• Lvy processes
• Markov processes
• Poisson point process
• Random element
• Probability distribution
• Point process
• Random variable
• Measure

Drift Analysis A Tool for Analysing Randomised Search Heuristics1 Per Kristian Lehre ASAP Research Group School of Computer Science

Source URL: staffwww.dcs.shef.ac.uk

• Probability theory
• Mathematical analysis
• Probability
• Mathematics
• Probability axioms
• Event
• Sigma-algebra
• Stochastic process
• Martingale
• Markov chain
• Probability space

Introduction to Systems Biology Stochastic Process Algebra Approaches Quantitative Analysis of Biochemical Signalling Pathways

Source URL: homepages.inf.ed.ac.uk

• Biology
• Systems biology
• Bioinformatics
• Academia
• Systems science
• Jane Hillston
• Stochastic
• Laboratory for Foundations of Computer Science
• Scientific modelling
• Cell signaling