Inference of Reaction Kinetics

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Chemical Kinetics: Reaction Rates

Explores chemical kinetics, reaction rates, speed laws, and activation energy in various reactions.

Probability and Statistics

Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.

Density of States and Bayesian Inference in Computational Mathematics

Explores computing density of states and Bayesian inference using importance sampling, showcasing lower variance and parallelizability of the proposed method.

Chemical Kinetics: Reaction Rates

Explores the basics of chemical kinetics, emphasizing reaction rates and influencing factors.

Chemical Kinetics: Basics

Introduces reaction orders, rate laws, and temperature influence in chemical kinetics.

Bayesian Extremes: MCMC Analysis

Explores Bayesian techniques for extreme value problems, focusing on MCMC analysis and the importance of proper prior information.

Chemical Equilibria and Reactivity

Explores chemical equilibrium, reaction kinetics, and catalysis in determining reaction rates.

Chain Polymerisation: Mechanism and Kinetics

Explores the mechanism and kinetics of chain polymerisation, focusing on inhibitors and competitive inhibition in enzyme reactions.

Maximum Likelihood: Inference and Model Comparison

Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.

Chemical Kinetics: Elementary Reactions and Reaction Rates

Explores chemical kinetics, reaction rates, reaction orders, rate constants, and enzymatic catalysis.