Results 261 to 270 of about 39,520 (292)

Bootstrapping coherency function

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
In estimating spectrum and coherency function smoothing techniques have been widely used. However, smoothing creates undesirable bias consequently. We suggest the bootstrap method for the estimation of the bias and propose a bias-corrected estimator.
Kiheon Choi, Myoungshic Jhun, Jae Chang Lee   +2 more
openaire   +1 more source

Integerwise Functional Bootstrapping on TFHE

2020
We propose a new technique for implementing an arbitrary 1-variable function during a bootstrapping procedure based on an integerwise variant of the fully homomorphic encryption scheme TFHE. The integerwise TFHE was implicit in the original TFHE paper (Asiacrypt’ 2016), and Bourse et al. provided an explicit form (CRYPTO’ 2018).
Hiroki Okada 0001, Shinsaku Kiyomoto, Carlos Cid   +2 more
openaire   +1 more source

The estimating function bootstrap

Canadian Journal of Statistics, 2000
AbstractThe authors propose a bootstrap procedure which estimates the distribution of an estimating function by resampling its terms using bootstrap techniques. Studentized versions of this so‐called estimating function (EF) bootstrap yield methods which are invariant under reparametrizations.
Hu, F., Kalbfleisch, J.D.
openaire   +1 more source

Efficient Full Domain Functional Bootstrapping from Recursive LUT Decomposition [PDF]

Lecture Notes in Computer Science
Fully Homomorphic Encryption over the Torus (TFHE) enables efficient evaluation of arbitrary lookup tables (LUT) over encrypted data, allowing complex functions to be computed without decryption.
Intak Hwang, Seonhong Min, Yongsoo Song   +2 more
exaly   +1 more source

Bootstrapping complex functions

Nonlinear Analysis: Hybrid Systems, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi   +3 more
openaire   +2 more sources

Bootstrapping statistical functionals

Statistics & Probability Letters, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiménez Gamero, M. D., Muñoz García, J., Muñoz Reyes, A.   +2 more
openaire   +2 more sources

On the use of the bootstrap for estimating functions with functional data

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman   +2 more
openaire   +2 more sources

Integral Functionals and the Bootstrap for the Tail Empirical Process

Extremes, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ivanoff, B. Gail, Kulik, Rafal, Loukrati, Hicham   +2 more
openaire   +2 more sources

Amortized Functional Bootstrapping for Homomorphic Evaluation of Encrypted Functions

Lecture Notes in Computer Science
Li-Ping Wang, Huaxiong Wang, Wang Li-Ping   +2 more
exaly   +2 more sources

Bootstrap aggregated classification for sparse functional data

Journal of Applied Statistics, 2021
Sparse functional data are commonly observed in real-data analyzes. For such data, we propose a new classification method based on functional principal component analysis (FPCA) and bootstrap aggregating. Bootstrap aggregating is believed to improve the single classifier.
Hyunsung Kim, Yaeji Lim
openaire   +2 more sources