Pages that link to "Item:Q579825"
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The following pages link to A statistical perspective on ill-posed inverse problems (with discussion) (Q579825):
Displaying 50 items.
- A note on smoothing parameter selection for penalized spline smoothing (Q1888828) (← links)
- Entropy, divergence and distance measures with econometric applications (Q1909375) (← links)
- Identification of nonlinear systems using empirical data and prior knowledge -- An optimization approach (Q1914996) (← links)
- Non asymptotic minimax rates of testing in signal detection with heterogeneous variances (Q1950805) (← links)
- Adaptive complexity regularization for linear inverse problems (Q1951768) (← links)
- Semiparametric regression during 2003--2007 (Q1952023) (← links)
- On the asymptotics of penalized spline smoothing (Q1952168) (← links)
- Adaptive spectral regularizations of high dimensional linear models (Q1952239) (← links)
- Penalized wavelets: embedding wavelets into semiparametric regression (Q1952243) (← links)
- Multiscale scanning in inverse problems (Q1990595) (← links)
- A new look at Akaike's Bayesian information criterion for inverse ill-posed problems (Q2027449) (← links)
- Unified Bayesian conditional autoregressive risk measures using the skew exponential power distribution (Q2062348) (← links)
- Semi-parametric regression when some (expensive) covariates are missing by design (Q2065301) (← links)
- Asymptotic properties of penalized spline estimators in concave extended linear models: rates of convergence (Q2073712) (← links)
- On constrained smoothing and out-of-range prediction using \(P\)-splines: a conic optimization approach (Q2101966) (← links)
- Spline estimation of functional principal components via manifold conjugate gradient algorithm (Q2103990) (← links)
- Robust penalized estimators for functional linear regression (Q2111064) (← links)
- A multigrid preconditioner for tensor product spline smoothing (Q2135908) (← links)
- Penalized spline estimation for panel count data model with time-varying coefficients (Q2135910) (← links)
- A random forest algorithm to improve the Lee-Carter mortality forecasting: impact on q-forward (Q2153637) (← links)
- Empirical risk minimization as parameter choice rule for general linear regularization methods (Q2179243) (← links)
- Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data (Q2189618) (← links)
- Asymptotic properties of penalized splines for functional data (Q2203625) (← links)
- Penalized hyperbolic-polynomial splines (Q2233247) (← links)
- Direct determination of smoothing parameter for penalized spline regression (Q2260575) (← links)
- A reproducing kernel Hilbert space framework for inverse scattering problems within the Born approximation (Q2282748) (← links)
- Fast and efficient nested simulation for large variable annuity portfolios: a surrogate modeling approach (Q2306093) (← links)
- Fuzzy spline univariate regression with exact predictors and fuzzy responses (Q2309266) (← links)
- Application of Bayesian penalized spline regression for internal modeling in life insurance (Q2323667) (← links)
- Two stage smoothing in additive models with missing covariates (Q2338221) (← links)
- General power and sample size calculations for high-dimensional genomic data (Q2344242) (← links)
- Penalized spline estimation in the partially linear model (Q2374410) (← links)
- Penalized PCA approaches for B-spline expansions of smooth functional data (Q2451379) (← links)
- Estimating incidence of the French BSE infection using a joint analysis of both asymptomatic and clinical BSE surveillance data (Q2455548) (← links)
- Estimation in generalized linear models for functional data via penalized likelihood (Q2486170) (← links)
- On nonparametric maximum likelihood for a class of stochastic inverse problems (Q2494878) (← links)
- Network tomography: recent developments (Q2503944) (← links)
- Density estimation and comparison with a penalized mixture approach (Q2512759) (← links)
- Additive mixed models with approximate Dirichlet process mixtures: the EM approach (Q2631348) (← links)
- Statistical regularization of inverse problems (Q2726317) (← links)
- Inverse problems with Poisson data: statistical regularization theory, applications and algorithms (Q2832965) (← links)
- Survey design asymptotics for the model-assisted penalised spline regression estimator (Q2863048) (← links)
- Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models (Q2903134) (← links)
- Hybrid Samplers for Ill-Posed Inverse Problems (Q3077776) (← links)
- Estimation and Prediction for Cancer Screening Models Using Deconvolution and Smoothing (Q3078743) (← links)
- A Penalized Spline Approach to Functional Mixed Effects Model Analysis (Q3100786) (← links)
- A Partially Linear Regression Model for Data from an Outcome-Dependent Sampling Design (Q3101563) (← links)
- Inverse problems as statistics (Q3146252) (← links)
- An evaluation of the icm algorithm for image reconstruction (Q3201808) (← links)
- When is the optimal regularization parameter insensitive to the choice of the loss function? (Q3212129) (← links)
