The U.S. Census Longitudinal Business Database (LBD) product contains
em...
In this work, we propose a new mechanism for releasing differentially pr...
Functional regression analysis is an established tool for many contempor...
It is common for data structures such as images and shapes of 2D objects...
This work studies the problem of transfer learning under the functional
...
Implementations of the exponential mechanism in differential privacy oft...
Despite its many useful theoretical properties, differential privacy (DP...
In this work we consider the problem of releasing a differentially priva...
We introduce a new class of non-linear function-on-function regression m...
We introduce a new class of non-linear models for functional data based ...
This work considers the problem of fitting functional models with sparse...
Feature selection is an important and active research area in statistics...
Quantifying uncertainty using confidence regions is a central goal of
st...
This paper presents a new methodology, called AFSSEN, to simultaneously
...
This paper presents a new mechanism for producing sanitized statistical
...
We study elliptical distributions in locally convex vector spaces, and
d...
In this work we consider the problem of estimating function-on-scalar
re...
The exponential mechanism is a fundamental tool of Differential Privacy ...
In this work we present a new approach, which we call MISFIT, to fitting...
We derive and study a significance test for determining if a panel of
fu...
In statistical privacy (or statistical disclosure control) the goal is t...