The following pages link to Turlach, Berwin A. (Q162688):
Displaying 37 items.
- Revisiting fitting monotone polynomials to data (Q145623) (← links)
- (Q553512) (redirect page) (← links)
- Semiparametric regression with shape-constrained penalized splines (Q553513) (← links)
- (Q586196) (redirect page) (← links)
- (Q684819) (redirect page) (← links)
- Practical performance of several data driven bandwidth selectors (Q684820) (← links)
- An even faster algorithm for ridge regression of reduced rank data (Q959191) (← links)
- Reweighted kernel density estimation (Q1019937) (← links)
- Reducing bias in curve estimation by use of weights. (Q1285485) (← links)
- Performance of wavelet methods for functions with many discontinuities (Q1354445) (← links)
- Note on convergence rates of semiparametric estimators of dependence index (Q1372856) (← links)
- Interpolation methods for nonlinear wavelet regression with irregularly spaced design (Q1374217) (← links)
- A general projection framework for constrained smoothing. (Q1431205) (← links)
- Inductive statistics. An introduction with SPSS for Windows. With contributions by Angela Dörfler and Nina Quitzau. (Q1774489) (← links)
- Rolling-ball method for estimating the boundary of the support of a point-process intensity. (Méthode de roulement pour l'estimation de la frontière du support de l'intensité d'un processus ponctuel) (Q1863430) (← links)
- A parallel solver for generalised additive models (Q1978411) (← links)
- Optimal non-negative forecast reconciliation (Q2209697) (← links)
- Fitting monotone polynomials in mixed effects models (Q2329751) (← links)
- A flexible sequential Monte Carlo algorithm for parametric constrained regression (Q2419144) (← links)
- Shape constrained smoothing using smoothing splines (Q2488381) (← links)
- Nonparametric functional data analysis. Theory and practice. (Q2498736) (← links)
- Semiparametric Density Deconvolution (Q3077783) (← links)
- (Q3138534) (← links)
- Miscellanea. A note on design transformation and binning in nonparametric curve estimation (Q4212779) (← links)
- High-derivative parametric enhancements of nonparametric curve estimators (Q4267772) (← links)
- On the Estimation of a Convex Set From Noisy Data on Its Support Function (Q4366045) (← links)
- Interpolation Methods for Adapting to Sparse Design in Nonparametric Regression (Q4366224) (← links)
- Enhancing convolution and interpolation methods for nonparametric regression (Q4376590) (← links)
- A new approach to variable selection in least squares problems (Q4504955) (← links)
- (Q4524037) (← links)
- A general approach to generate random variates for multivariate copulae (Q4639821) (← links)
- (Q4837268) (← links)
- Edge selection for undirected graphs (Q4960765) (← links)
- Using hidden Markov models with raw, triaxial wrist accelerometry data to determine sleep stages (Q5117659) (← links)
- Fast and flexible methods for monotone polynomial fitting (Q5221508) (← links)
- Reducing bias without prejudicing sign (Q5926207) (← links)
- Quadratic programming (Q6604449) (← links)
