In places where governments are smaller, taxes are lower, regulations are lighter and property rights are more secure, people tend to be more generous, trustful and tolerant. Although my progressive ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Stock prices and corporate earnings move closely together over long horizons, a relationship confirmed by more than a century of data compiled by Robert Shiller. Read more here.

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

THE VENN DIAGRAM ILLUSTRATES THE COMPONENTS OF VARIATION PARTITIONING WITHIN A PHYLOGENETIC GENERALIZED LINEAR MODEL (PGLM). THE LARGE OUTER CIRCLE REPRESENTS THE TOTAL VARIATION IN THE RESPONSE ...

The idea of Bitcoin as a financial lone wolf, immune to Wall Street’s whims, is officially a relic. A hard look at its price movements next to the tech-focused Nasdaq shows two assets that are now ...

Abstract: This research examines the efficacy of selection feature selection based machine-learning by combining low variance filter, Pearson correlation low variance filter algorithms to detect Bot ...

Add Explained Variance logging for PPO. (see https://scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html) The returned tensordict ...

ABSTRACT: Maize, an expanding grain crop in Bangladesh, faces high food and feed demand. However, domestic output is insufficient to meet demand, necessitating exports from other countries. Developing ...