## fastkme : Faster Kaplan-Meier Estimator using JIT

The nonaprametric survival models like Nearest Neighbour, Kernel Survival, COBRA Survival or adaptive nearest neighbour require fitting kaplan meier estimato...

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fastkme : Faster Kaplan-Meier Estimator using JIT

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Probability Theory (Series)

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Convergence of Markov Chain

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Highest Posterior Density Interval

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Introduction to Logistic Regression

The nonaprametric survival models like Nearest Neighbour, Kernel Survival, COBRA Survival or adaptive nearest neighbour require fitting kaplan meier estimato...

This series is an introduction to Probability Theory, It closely follows the book “Probability Essentials” by Jean Jacod and Philip Protter. Day 0 : Phi...

What is Markov Chain ? Markov Chain is a Stochastic Model in which Future is dependent only on Present not on Past , What I mean to say that is ...

Highest Posterior Density Interval is interval of the parmeter in which the posterir value are high when compared to any other point outside the interval (i....

Usually in Linear Regression we consider $X$ as a explanatory variable whose columns are $X_1 , X_2 …..X_{p}$ are the variables which we use predict are the ...