Results 41 to 50 of about 8,137,182 (304)
Bayesian cross validation for gravitational-wave searches in pulsar-timing array data [PDF]
Gravitational-wave data analysis demands sophisticated statistical noise models in a bid to extract highly obscured signals from data. In Bayesian model comparison, we choose among a landscape of models by comparing their marginal likelihoods.
Taylor, Stephen R. +2 more
core +3 more sources
Accurate estimation of forest aboveground biomass (AGB) is important for carbon accounting. Forest AGB estimation has been conducted with a variety of data sources and prediction methods, but many uncertainties still exist.
Xiaofang Sun +3 more
doaj +1 more source
An Application of High-Dimensional Statistics to Predictive Modeling of Grade Variability
The economic viability of a mining project depends on its efficient exploration, which requires a prediction of worthwhile ore in a mine deposit. In this work, we apply the so-called LASSO methodology to estimate mineral concentration within unexplored ...
Juri Hinz +2 more
doaj +1 more source
Precipitation patterns are vital to water resource management and hydrological research, especially in the upper reaches of inland rivers in arid and semiarid areas.
Hong Wang +5 more
doaj +1 more source
Debt-by-Price Ratio, End-of-Year Economic Growth, and Long-Term Prediction of Stock Returns
With the prominent role of government debt in economic growth in recent decades, one would expect that government debt alongside economic growth to be a risk factor priced in the time series of stock returns.
Parastoo Mousavi
doaj +1 more source
In genomic prediction, single-step method has been demonstrated to outperform multi-step methods. This study investigated the efficiency of genomic prediction for seven body measurement traits in Yorkshire population and simulated data using single-step ...
Hailiang Song +4 more
doaj +1 more source
Globally, belowground biomass (BGB) accounts for 20–26% of total biomass, and as such it is an important carbon (C) pool for many vegetation types. However, large uncertainty exists for belowground biomass C compared to aboveground stocks.
Ferdinand Handavu +3 more
doaj +1 more source
Multifidelity Cross-Validation
arXiv admin note: text overlap with arXiv:2203 ...
Renganathan, S. Ashwin, Carlson, Kade
openaire +2 more sources
Possibly Nonstationary Cross-Validation [PDF]
Cross-validation is the most common data-driven procedure for choosing smoothing parameters in nonparametric regression. For the case of kernel estimators with iid or strong mixing data, it is well-known that the bandwidth chosen by cross-validation is optimal with respect to the average squared error and other performance measures.
Bandi, Federico M +2 more
openaire +2 more sources
iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice
DNA N6-methyladenine (6mA) is a dominant DNA modification form and involved in many biological functions. The accurate genome-wide identification of 6mA sites may increase understanding of its biological functions.
Hao Lv +7 more
doaj +1 more source

