Results 11 to 20 of about 149 (141)

Application of one-step method to parameter estimation in ODE models. [PDF]

Stat Neerl, 2018
In this paper, we study application of Le Cam's one‐step method to parameter estimation in ordinary differential equation models. This computationally simple technique can serve as an alternative to numerical evaluation of the popular non‐linear least squares estimator, which typically requires the use of a multistep iterative algorithm and repetitive ...
Dattner I, Gugushvili S.
europepmc   +2 more sources

Pemodelan faktor-faktor yang memengaruhi angka kesembuhan tuberkulosis di Jawa Barat menggunakan regresi spline truncated

Majalah Ilmiah Matematika dan Statistika, 2022
Tuberculosis is a bacterial infection caused by Mycobacterium tuberculosis. Transmission of tuberculosis (TBC) can occur due to environmental factors and community behavior. West Java is Indonesia's province with the highest number of tuberculosis cases.
Niken Evitasari, Sri Sulistijowati Handajani, Hasih Pratiwi   +2 more
doaj   +1 more source

Difference-based ridge estimator of parameters in partial linear model [PDF]

, 2010
Differencing estimator, Differencing matrix, Multicollinearity, Ridge regression estimator, 62G08, 62J07,
Gülin Tabakan, Akdeniz F., Fikri Akdeniz, Tabakan, Gülin, Akdeniz, Fikri, Tabakan G.   +5 more
core   +1 more source

Pricing Bermudan options by nonparametric regression: optimal rates of convergence for lower estimates [PDF]

, 2010
Bermudan options, Nonparametric regression, Boundary condition, Suboptimal stopping rules, 62G08, 65C05, 60G40, G10, G12, G13,
Denis Belomestny, Belomestny, Denis
core   +1 more source

Nonparametric relative recursive regression

Dependence Modeling, 2020
In this paper, we propose the problem of estimating a regression function recursively based on the minimization of the Mean Squared Relative Error (MSRE), where outlier data are present and the response variable of the model is positive.
Slaoui Yousri, Khardani Salah
doaj   +1 more source

Analyzing high dimensional correlated data using feature ranking and classifiers

Computational and Mathematical Biophysics, 2019
The Illumina Infinium HumanMethylation27 (Illumina 27K) BeadChip assay is a relatively recent high-throughput technology that allows over 27,000 CpGs to be assayed.
Patil Abhijeet R, Chang Jongwha, Leung Ming-Ying, Kim Sangjin   +3 more
doaj   +1 more source

Goodness-of-Fit Tests in Nonparametric Regression [PDF]

, 2006
AMS classifications: 62G08, 62G10, 62G20, 62G30 ...
John H. J. Einmahl, Einmahl, J.H.J., Ingrid van Keilegom, van Keilegom, I.   +3 more
core   +1 more source

A review on consistency and robustness properties of support vector machines for heavy-tailed distributions [PDF]

, 2009
Regularized empirical risk minimization, Support vector machines, Consistency, Robustness, Bouligand influence function, Heavy tails, 68Q32, 62G35, 62G08, 62F35, 68T10,
Arnout Van Messem, Van Messem, Arnout, Andreas Christmann, Christmann, Andreas   +3 more
core   +1 more source

Thresholding procedure with priors based on Pareto distributions [PDF]

, 2004
adaptive estimation, Bayesian model, Pareto distribution, sparsity, wavelet thresholding, weak Besov spaces, 62G05, 62G08, 62C12,
Rivoirard, Vincent, Vincent Rivoirard
core   +1 more source

Nonparametric estimation for a stochastic volatility model [PDF]

, 2010
Diffusion coefficient, Drift, Mean square estimator, Model selection, Nonparametric estimation, Penalized contrast, Stochastic volatility, 62G08, 62M05, 62P05, C14, C87,
Comte, Fabienne, V. Genon-Catalot, Rozenholc, Yves, F. Comte, Genon-Catalot, Valentine, Y. Rozenholc   +5 more
core   +1 more source