Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.
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Dec 17, 2024 - Julia
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non-parametric
Here are 49 public repositories matching this topic...
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
risk-analysis reliability-engineering reliability survival-analysis non-parametric churn-prediction weibull reliability-analysis actuarial-science parametric-methods probability-plot parametric-distribution
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Nov 10, 2024 - Python
Multivariate Local Polynomial Regression and Radial Basis Function Regression
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Feb 6, 2023 - Python
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
python estimator non-parametric jump-diffusion stochastic-processes diffusion-term kramers-moyal conditional-moments jump-amplitude jump-rate
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Feb 10, 2023 - Python
Python code for calculating non-parametric morphological diagnostics of galaxy images.
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Nov 19, 2024 - Python
A data-driven approach for interactively synthesizing diverse images from semantic label maps.
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Sep 17, 2019 - MATLAB
Parametric and non-parametric statistical tests
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Nov 11, 2024 - R
Repo containing code for Towards Data Science articles
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Aug 13, 2020 - HTML
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
text-mining data-stream stochastic-process non-parametric dirichlet-process dirichlet-process-mixtures text-clustering text-stream data-stream-processing data-stream-mining
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Apr 22, 2021 - Python
An R package for kernel density estimation with parametric starts and asymmetric kernels.
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Sep 30, 2020 - R
An algorithm that decimates a curve composed of line segments to a similar curve with fewer points.
chart plot rdp non-parametric douglas-peucker polyline-simplification ramer-douglas-peucker rdp-algorithm downsampling iterative-end-point-fit
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Sep 19, 2019 - C#
Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy
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Jun 28, 2018 - Python
Non-parametric method for estimating regime change in bivariate time series setting.
python finance data-science machine-learning kernel time-series kernel-methods non-parametric regime-change
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Apr 14, 2017 - Python
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
linear-regression regression ab-testing cox-regression non-parametric chi-square-test frequentist-statistics poisson-regression mixed-model anova-test
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Aug 19, 2022
UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE' 23)
mpc uncertainty-neural-networks uncertainty-quantification non-parametric cem control-barrier-functions
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Oct 3, 2023
This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations
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Apr 27, 2018 - R
Tool for non-parametric curve fitting using local polynomials.
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Oct 8, 2024 - Python
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Jul 21, 2023 - Python
Generalized Pairwise Comparisons
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Oct 13, 2024 - R
NORTA.jl implements the Normal to Anything (NORTA) concept, leveraging Julia's framework to provide a unique approach that utilizes non-parametric distribution fitting methods, thereby enhancing efficiency by eliminating the need for explicit correlation matrix computations.
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Aug 28, 2024 - Julia
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