Sampling for interdiction problems

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Methods for the evaluation of maximum entropy distributions

Piecewise polynomial interpolation in Julia

Julia package for different types of asset return or price models

Compute solar radiation and generate sky domes for VPL

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A Julia package for Beta-like regression models useful for subjective scales data (Likert scales, analog scales, ...)

Frame-connection on localization microscopy data

Metrics for SMLM

Simulation of single molecule data sets

A package for discretizing trajectory data into a transition probability matrix using Ulam's method.

Noise modeling

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

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Surface Magnetic Resonance Probabilistic Inversion

Tools for handling correlated uncertainties in Julia

A Julia package for simulating Social Sampling Theory

A Julia package for plotting sequential sampling models

Statistics, Julia package: check data for a Simpson's statistical paradox.

Package for generating masks and line lists for use in stellar radial velocity measurements

Plotting tools for ElectroPhysiology.jl

Surrogate distance models

Compute exact simplex intersections in N dimensions.

High-performance market risk measures for your portfolio.

Standard Young tableaux.

Estimation of person parameters for item response models in Julia

Some generic Markov kernels for Monte Carlo

Julia implementation of Path Weight Sampling (PWS) to compute information transmission rates

Julia package for the paper "Decomposition with Monotone B-splines: Fitting and Testing"

Time Series Classification algorithms in Julia - Bachelor thesis project

Partial Svd with Random Sampling. O.Shamir and Vempala algorithms.

Parameter estimation under uncertainty.

Metida descriptive statistics.

Metida frequency tables.

A Julia package for solving continuous-time Markov chains using the uniformization/randomization method

Base package for JuliaPsychometricsBazaar ecosystem

Weibull Distribution allowing a Pareto approximation.

Construct log densities with deterministic samples using low-discrepancy sequences.