Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

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The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

Phylogenetic trees can improve the power of comparative sequence analyses by placing raw sequence differences into their historical context — offering an understanding of how the sequences that we see ...

We tackle the problem of high-dimensional nonparametric density estimation by taking the class of log-concave densities on ℝp and incorporating within it symmetry assumptions, which facilitate ...

Pramote Cholayudth, [email protected], is the founder and manager of PM Consult. He is an industrial pharmacist with more than 40 years of experience. He is a guest speaker on process validation ...

Pramote Cholayudth is an industrial pharmacist with more than 40 years of experiences. He is a guest speaker on Process Validation to industrial pharmaceutical scientists organized by Thailand’s FDA.

Common ordinal models, including the ordered logit model and the continuation ratio model, are formulated by a common score (ie, a linear combination of given explanatory variables) plus rank-specific ...

Quick: How many people did you see on the way home from work the other day? Was it more or less than the day before? Regardless of your answer, it's likely you can't explain what led you to it. Number ...