Nature

Random Walks and Matrix Equations in Stochastic Processes

Random walks serve as fundamental models in the study of stochastic processes, simulating phenomena ranging from molecular diffusion to queuing networks and financial systems. Their inherent ...
JSTOR Daily

Stochastic Algorithms for Markov Models Estimation with Intermittent Missing Data

Multistate Markov models are frequently used to characterize disease processes, but their estimation from longitudinal data is often hampered by complex patterns of incompleteness. Two algorithms for ...
CU Boulder News & Events

Wavelet and Hidden Markov-Based Stochastic Simulation Methods Comparison on Colorado River Streamflow

Erkyihun S.T., E Zagona, B. Rajagopalan, (2017). “Wavelet and Hidden Markov-Based Stochastic Simulation Methods Comparison on Colorado River Streamflow,” Journal of Hydrologic Engineering 2017, 22(9): ...
JSTOR Daily

Inference for Markov Chains Having Stochastic Entry and Exit

Models suitable for statistical inference in Markov chains are considered featuring various forms of stochastic entry, including Poisson, renewable binomial pool, uncertain pool size, negative ...
lse

Stochastic Processes

This course is compulsory on the BSc in Actuarial Science. This course is available on the BSc in Data Science, BSc in Financial Mathematics and Statistics, BSc in Mathematics with Data Science, BSc ...
lse

Stochastic Processes

This course is compulsory on the BSc in Actuarial Science and BSc in Actuarial Science (with a Placement Year). This course is available on the BSc in Data Science, BSc in Financial Mathematics and ...