GitHub topics: kernel-smoothing
egarpor/polykde
Kernel density estimation on the polysphere, hypersphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests
Language: R - Size: 4.35 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
joshuapjacob/crypto-volatility-surface
A dashboard to visualize cryptocurrency implied volatility surfaces constructed with option data from Binance.
Language: Python - Size: 354 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 60 - Forks: 8
francescoalemanno/KissSmoothing.jl
Easily smooth your data in Julia
Language: Julia - Size: 679 KB - Last synced at: 12 days ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 0
zhangyk8/npDRDeriv
Nonparametric Doubly Robust Inference on Dose-Response Curve and its Derivative
Language: Jupyter Notebook - Size: 1.08 GB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0
zhangyk8/npDoseResponse
Python and R packages for "Nonparametric Inference on Dose-Response Curves Without the Positivity Condition"
Language: Jupyter Notebook - Size: 118 MB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
gmgeorg/pypress
PRESS: Predictive State Smoothing in Python (tf.keras)
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0
UniBwTAS/ccma
Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.
Language: Python - Size: 21.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 193 - Forks: 10
didemch/Forecasting-Covid-Cases-in-R
Building a few linear models to predict 2-week ahead COVID-19 case counts.
Size: 1.07 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
NickGeneva/kernel_smoothers
Tutorials on kernel smoothing techniques
Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
tbeason/NonparametricRegression.jl
Simple local constant and local linear regressions in Julia
Language: Julia - Size: 30.3 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 0
Zaroymi/metrics-methods-ml
Classic metrics methods used in machine learning
Language: Jupyter Notebook - Size: 50.8 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
sverdoot/pointwise-derivative-estimation
Final project for the course Advanced Statistical Methods in Skoltech
Language: Python - Size: 2.5 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
