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Recent items include:

  • What do we learn from bestseller regressions?
  • Beyond the Curve: Real-Time Forward Testing Polynomial Regression on Live Market Data
  • Some useful equations for biological processes

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statmodeling.stat.columbia.edu /1 month ago

What do we learn from bestseller regressions?

Gaurav Sood writes: I was reading ‘The Bestseller Code.’ The book reports results from some regressions of the form: bestseller or not ~ features of content This got me thinking ab...

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medium.com /3 weeks ago

Beyond the Curve: Real-Time Forward Testing Polynomial Regression on Live Market Data

Backtesting is a dangerous sanctuary. In hindsight, every historical chart can be turned into a work of art using polynomial curve-fitting…Continue reading on Medium »

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r-bloggers.com /1 month ago

Some useful equations for biological processes

Biological phenomena are often studied by examining how a numerical variable, usually called the response (e.g., the weight or height of an organism), is affected by another variab...

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kodekloud.com /2 weeks ago

How to Build Linear Regression From Scratch Using PyTorch Tensors

Most PyTorch tutorials hand you nn.Linear and move on, which hides the part that actually matters. Here you build regression with nothing but raw tensors, and you meet the silent b...

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r-bloggers.com /1 month ago

A collection of self-starters for nonlinear regression in R

Usually, the first step in every nonlinear regression analysis is to select the function that best describes the phenomenon under study. The next step is to fit this function to t...

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statmodeling.stat.columbia.edu /4 weeks ago

I recommend this book on Applied Regression and Causal Inference

This post offers two recommendations and a story. First, the recommendations. • Here’s the book referred to in the title of the post. I highly recommend it! My only regret is that...

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kodekloud.com

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medium.com

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statmodeling.stat.columbia.edu

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r-bloggers.com

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