Results 41 to 50 of about 8,137,182 (304)

Bayesian cross validation for gravitational-wave searches in pulsar-timing array data [PDF]

open access: yes, 2019
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

Analyzing the Uncertainty of Estimating Forest Aboveground Biomass Using Optical Imagery and Spaceborne LiDAR

open access: yesRemote Sensing, 2019
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

open access: yesGeosciences, 2020
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

Spatiotemporal patterns of precipitation based on the Bayesian maximum entropy method in a typical catchment of the Heihe River watershed, northwest China

open access: yesInternational Journal of Digital Earth, 2022
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

open access: yesMathematics, 2021
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

Using Different Single-Step Strategies to Improve the Efficiency of Genomic Prediction on Body Measurement Traits in Pig

open access: yesFrontiers in Genetics, 2019
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

Aboveground and belowground tree biomass and carbon stocks in the miombo woodlands of the Copperbelt in Zambia

open access: yesCarbon Management, 2021
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

open access: yesAIAA AVIATION FORUM AND ASCEND 2024
arXiv admin note: text overlap with arXiv:2203 ...
Renganathan, S. Ashwin, Carlson, Kade
openaire   +2 more sources

Possibly Nonstationary Cross-Validation [PDF]

open access: yesSSRN Electronic Journal, 2016
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

open access: yesFrontiers in Genetics, 2019
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

Home - About - Disclaimer - Privacy