Smithson With, a Bitcoin researcher, presented a new approach to predict Bitcoin’s cycle top price using a quantile regression model. In an X post, With explains that quantile regression ...

Bitcoin quantile model highlights 3 price range for BTC Sina presented a study that classified Bitcoin’s “probability space” utilizing a quantile regression model and outlined three specific ...

The demo concludes by evaluating the trained quantile regression model: Evaluating final quantile regression model Accuracy (15%) on train data = 0.7100 Accuracy (15%) on test data = 0.7000 Computed ...

Further work has expanded the conventional approach by incorporating quantile regression models, which allow researchers to capture diverse distributional aspects of bounded data. For example ...

Without going too far down the rabbit hole, linear regression (LR) uses a least squares methodology to calculate the conditional mean to model the data. Quantile regression (QR) estimates the ...

Background and MotivationAs the global energy transition accelerates, clean energy stocks (CES) have become a key asset class in financial markets ...

In this paper we propose a semi-parametric, parsimonious value-at-risk forecasting model based on quantile regression and readily available market prices of option contracts from the over-the-counter ...

Sina presented a study that classified Bitcoin’s “probability space” utilizing a quantile regression model and outlined three specific zones for Bitcoin in 2025. The analyst mentioned that ...