2014-05-15
Bootstrapping–flip side
2014-05-11
Reproducible Research @ Coursera
2014-04-29
Data Smart : Summary
2014-04-26
Efficient Simulation Smoother
2014-04-17
Bumping
2014-04-17
Bumping
2014-04-17
Dynamic Linear Models with R : Summary
2014-03-19
Computational Thinking
2014-03-11
John Chambers on S
2014-01-25
Multivariate Statistical Analysis : Review
2014-01-18
Metropolis-Hastings Algorithm
2014-01-18
Occam's Window
2014-01-14
Choosing Models
2014-01-14
Explaining the Gibbs Sampler
2014-01-05
Stein’s Paradox
2013-12-22
Calculated Bets - Review
2013-11-10
Applied Econometric Time Series – Summary
2013-11-10
Cross-validation for time series
2013-11-03
A Kalman Filter Primer : Summary
2013-10-27
State Space Time Series Analysis : Summary
2013-09-08
The Signal and the Noise : Review
2013-05-18
Weighing the Odds : Book Review
2013-04-27
Big Data : Review
2013-03-27
Non-Life Insurance Mathematics : Review
2013-03-16
Renewal Theory : Review
2013-02-24
Struck by Lightning : Review
2013-02-10
The Success Equation : Review
2013-01-20
Automate this : Review
2013-01-13
Cashier Number 3 Please : Review
2012-11-09
Frequentists vs. Bayesians
2012-10-14
Principles of Data Mining : Review
2012-10-13
In All Likelihood : Review
2012-10-06
Bayesian and Likelihood Principle
2012-08-03
An Introduction to Generalized Linear Models
2012-07-22
Linear Models with R : Summary
2012-05-27
An Introduction to the Bootstrap : Summary
2012-05-27
What is a p-value anyway : Summary