Women trying to conceive face sharply lower odds of pregnancy when their blood carries elevated levels of chemicals found in ...

Introduction: Sex/gender and age variability in the impact of elevated blood pressure (BP) on older adult cognitive function remains understudied across the continuum of cognition. Hypothesis: Older ...

Quantiles underpin widely used tools in finance, insurance, and economic inequality—yet building statistical inference for quantiles can be challenging because empirical quantiles are order statistics ...

Commonly used linear regression focuses only on the effect on the mean value of the dependent variable and may not be useful in situations where relationships across the distribution are of interest.

Causal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) has established ...

The relatively higher sensitivity of the agriculture sector to adverse climatic impacts poses significant challenges to the food security of developing nations, including India. While the climatic ...

Abstract: In many areas of science, technological advances have led to devices that produce data streams consisting of an enormous number of measurements per subject, including wearable devices, ...

Abstract: Compared with commonly-used point forecasting, probabilistic forecasting provides quantitative information on the uncertainty associated with wind power output. However, most studies focus ...

import jax import ott import jax import jax.random import jax.numpy as jnp N = 200 x = jax.random.normal(key = jax.random.PRNGKey(0), shape=(N,)) a = 0.5 quant = jnp.array([.2,.8]) def ...