Все публикации

Stationary & Limiting Distribution of CTMCs With Solved Examples || Tutorial 9 (B)

Introduction to Continuous-Time Markov Chains (CTMCs) With Solved Examples || Tutorial 9 (A)

Introduction to Random Walk Process With Solved Example || Tutorial 8

Recurrent, Transient, Periodicity And Mean Recurrent Time in R

Transient State, Ergodic Markov Chains, Aperiodic & Periodic States || Tutorial 7 (K)

Recurrent State & Mean Recurrent Time With Solved Examples & Exercise || Tutorial 7 (J)

Absorption Probabilities And Mean Absorption Times in R

Absorption Probabilities & Mean Absorption Time With Solved Examples & Exercise || Tutorial 7 (I)

Accessible State, Communicating Class, Irreducible State, Closed Class & Absorbing || Tutorial 7 (H)

Stationary Distributions of DTMCs in R

Stationary & Limiting Distributions With Solved Examples & Exercise || Tutorial 7 (G)

Eigenvalue Representation of The N-Step Transition Probabilities || Examples & Ex || Tutorial 7 (F)

Simulating N-Step Transition Probability Matrix in R

N-Step Transition Probabilities With Solved Examples and Exercise || Tutorial 7 (E)

State Probability Distributions With Solved Examples and Exercise || Tutorial 7 (D)

Fitting DTMCs in R

Simulating Transition Probability Matrix and Diagram in R

Transition Diagrams With Solved Examples and Exercise || Tutorial 7 (C)

Transition Probability Matrix With Solved Examples and Exercise || Tutorial 7 (B)

Introduction to Discrete Time Markov Chains (DTMCs) || Tutorial 7 (A)

Introduction to Stochastic Processes || Properties of Stochastic Processes || Tutorial 6 (B)

Introduction to Stochastic Processes With Solved Examples || Tutorial 6 (A)

Normal Distribution With Solved Examples and Exercise || Tutorial 5 (G)

Exponential Distribution With Solved Example and Exercise || Tutorial 5 (F)