Zobrazeno 1 - 10
of 3 808
pro vyhledávání: '"Nielsen, Morten A."'
Autor:
Nielsen, Morten E., Fornberg, Bengt
In this paper, we present how high-order accurate solutions to elliptic partial differential equations can be achieved in arbitrary spatial domains using radial basis function-generated finite differences (RBF-FD) on unfitted node sets (i.e., not adj
Externí odkaz:
http://arxiv.org/abs/2407.15825
Autor:
Nielsen, Morten
We extend a classical result by Triebel on boundedness of bandlimited multipliers on $L^p(\mathbb{R}^n)$, $0
Externí odkaz:
http://arxiv.org/abs/2407.02895
For linear regression models with cross-section or panel data, it is natural to assume that the disturbances are clustered in two dimensions. However, the finite-sample properties of two-way cluster-robust tests and confidence intervals are often poo
Externí odkaz:
http://arxiv.org/abs/2406.08880
We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but als
Externí odkaz:
http://arxiv.org/abs/2406.00650
Autor:
Høie, Magnus Haraldson, Hummer, Alissa, Olsen, Tobias H., Aguilar-Sanjuan, Broncio, Nielsen, Morten, Deane, Charlotte M.
The design and optimization of antibodies requires an intricate balance across multiple properties. Protein inverse folding models, capable of generating diverse sequences folding into the same structure, are promising tools for maintaining structura
Externí odkaz:
http://arxiv.org/abs/2405.03370
Autor:
Nielsen, Morten
Given a matrix-weight $W$ in the Muckenhoupt class $\mathbf{A}_p(\mathbb{R}^n)$, $1\leq p<\infty$, we introduce corresponding vector-valued continuous and discrete $\alpha$-modulation spaces $M^{s,\alpha}_{p,q}(W)$ and $m^{s,\alpha}_{p,q}(W)$ and pro
Externí odkaz:
http://arxiv.org/abs/2402.16461
We study statistical inference on unit roots and cointegration for time series in a Hilbert space. We develop statistical inference on the number of common stochastic trends embedded in the time series, i.e., the dimension of the nonstationary subspa
Externí odkaz:
http://arxiv.org/abs/2312.00590
Autor:
Nielsen, Morten
We study a class of almost diagonal matrices compatible with the mixed-norm $\alpha$-modulation spaces $M_{\vec{p},q}^{s,\alpha}(\mathbb{R}^n)$, $\alpha\in [0,1]$, introduced recently by Cleanthous and Georgiadis [Trans.\ Amer.\ Math.\ Soc.\ 373 (202
Externí odkaz:
http://arxiv.org/abs/2303.15791
Subsampling of node sets is useful in contexts such as multilevel methods, computer graphics, and machine learning. On uniform grid-based node sets, the process of subsampling is simple. However, on node sets with high density variation, the process
Externí odkaz:
http://arxiv.org/abs/2303.09080
We provide computationally attractive methods to obtain jackknife-based cluster-robust variance matrix estimators (CRVEs) for linear regression models estimated by least squares. We also propose several new variants of the wild cluster bootstrap, whi
Externí odkaz:
http://arxiv.org/abs/2301.04527