We spied an all-new 32" DT Swiss MTB fork prototype at the World Cup & the 1st production-labeled 32" DT wheel. But neither on XC race bikes!

Additive modelling offers a flexible framework in which a response variable is expressed as the sum of smooth functions of predictors. Central to this approach are smoothing techniques that control ...

Fabrice Deschâtres, founder of Volptima and a former Goldman Sachs quant, has developed convex volatility interpolation (CVI), an algorithm to build implied volatility surfaces by framing the fit as a ...

Extreme heat is a well‐established environmental hazard linked to elevated cardiovascular disease (CVD) morbidity and mortality, yet few studies evaluate temperature effects across multiple temporal ...

Imagine that you have a scatter (XY) plot. It is not always easy to see the trends and to tell the story behind the data. Smoothing spline helps you to visualize and understand noisy scatterplot data.

NB Ball Splines are designed for applications requiring linear motion and high torque transmission. They include recirculating steel balls on the side of the outer race designed for high speed ...

With prices on TVs starting to drop for fall sales events, you might be in the market for a new set, maybe to catch all the NFL action or to watch blockbuster movies in all their 4K HDR glory. But ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

Abstract: The results of application of the developed recursive algorithm for constructing the smoothing splines are presented. It is assumed in the algorithm that the smoothing parameter is uncertain ...

Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, ...