$L_0$ regularized estimation for nonlinear models that have sparse underlying linear structures
$L_2$ boosting in kernel regression
$U$-tests for variance components in one-way random effects models
$\ell^1$ penalty for ill-posed inverse problems
$\sqrt{n}$-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing
$κ$-exponential models from the geometrical viewpoint