Results 11 to 20 of about 24,206 (303)
Bandwidth Selection for Prediction in Regression
Proceedings, 2019 There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then the existing methods can easily be ...
Inés Barbeito +2 more
doaj +1 more source
Biotropia: The Southeast Asian Journal of Tropical Biology, 2023 Endophytic fungi were poorly documented in the marine environment, especially in seagrasses regardless of their importance as sources of novel metabolites. In the Philippines, studies are dearth despite having large areas of seagrass meadows. Thus, this
Venus Kinamot, Alvin Monotilla
doaj +1 more source
On a linear method in bootstrap confidence intervals
Statistica, 2007 A linear method for the construction of asymptotic bootstrap confidence intervals is proposed. We approximate asymptotically pivotal and non-pivotal quantities, which are smooth functions of means of n independent and identically distributed random ...
Andrea Pallini
doaj +1 more source
On Smoothing and the Bootstrap
The Annals of Statistics, 1989 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hall, Peter +2 more
openaire +2 more sources
On confidence intervals centred on bootstrap smoothed estimators [PDF]
Stat, 2019 Bootstrap smoothed (bagged) estimators have been proposed as an improvement on estimators found after preliminary data‐based model selection. Efron derived a widely applicable formula for a delta method approximation to the standard deviation of the bootstrap smoothed estimator. He also considered a confidence interval centred on the bootstrap smoothed
Paul Kabaila, Christeen Wijethunga
openaire +5 more sources
Convergent momentum-space OPE and bootstrap equations in conformal field theory
Journal of High Energy Physics, 2020 General principles of quantum field theory imply that there exists an operator product expansion (OPE) for Wightman functions in Minkowski momentum space that converges for arbitrary kinematics.
Marc Gillioz +3 more
doaj +1 more source
The missing censoring indicator model and the smoothed bootstrap [PDF]
Computational Statistics & Data Analysis, 2008 For right censored data with missing censoring indicators, sub-density function kernel estimators play a significant role for estimating a survival function. Data-driven bandwidths for computing these kernel estimators are proposed. The bandwidths are obtained as minimizers of certain estimates of the mean integrated squared error (MISE).
Sundarraman Subramanian, Derek Bean
openaire +3 more sources
IEEE Access, 2020 This paper presents a non-inverting buck-boost converter for high-voltage automotive applications. The converter includes a newly proposed controller chip and four off-chip NMOS power transistors with two bootstrap capacitors.
Jiho Moon +7 more
doaj +1 more source
Proceedings, 2018 Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
doaj +1 more source
The Smoothed Bootstrap Fine-Tuning [PDF]
System Safety: Human - Technical Facility - Environment, 2019 Abstract The bootstrap method is a well-known method to gather a full probability distribution from the dataset of a small sample. The simple bootstrap i.e. resampling from the raw dataset often leads to a significant irregularities in a shape of resulting empirical distribution due to the discontinuity of a support.
Renata Dwornicka +2 more
openaire +1 more source