Abstract: In an accelerated life test, inferences on extreme quantiles of the lifetime distribution at the use condition are obtained via extrapolation in two directions: in time, and in stress levels ...
Abstract: In surveys conducted by Badan Pusat Statistik (BPS), such as SUSENAS, many households do not allocate expenditures for certain types of consumer goods. This causes a lot of censored data. An ...
Birth weight (BW) is a key indicator of a newborn’s health, survival, and development. It is associated with the risk of childhood mortality and is also related to health, physical growth, emotional ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...
The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...
Proceedings of the National Academy of Sciences of the United States of America, Vol. 119, No. 11 (March 15, 2022), pp. 1-7 (7 pages) Artificial intelligence (AI) and machine learning models are being ...
Bitcoin’s (BTC) strong weekly return of 9.84% exhibited a clear bullish breakout above the descending trendline pattern, which has been active since March 2024. In light of that, Sina, the co-founder ...
After dropping 3.45% on Sept. 30, Bitcoin (BTC) missed out on a monthly bullish engulfing candle for the first time since January 2023. Still, a year-long bull flag remains in play for Bitcoin, which ...
A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...
In many simulation-based Bayesian approaches to quantile regression, Markov Chain Monte Carlo techniques are employed to generate draws from a posterior distribution based on an asymmetric Laplace ...
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