Model-free inference of memory in conformationaldynamics of a multi-domain proteinLeonie Vollmar 1,2,∗ , Rick Bebon 3,∗ , Julia Schimpf 1,2 , BastianFlietel 4 , Sirin Celiksoy 4 , Carsten Sönnichsen 4 , Aljaž Godec 3and Thorsten Hugel 1,51Institute of Physical Chemistry, Univ...
Carving, introduced by Fithian, Sun and Taylor (2014), enables the reuse of pilot data during selective inference and accounts for overoptimism from the selection process. However, currently, carving is only justified for parametric models such as the commonly used Gaussian model. In this paper,...
. Moreover, inference studies on collections of short time series extracted from non-periodic dynamics further confirms that larger numbersM = S × mof recordings improve quality (as expected). Again, correlations, partial correlations, and transfer entropy are in general less capable of ...
那么当前这个万物皆可Machine Learning的时代，大家自然想要更prefer所有的data-driven，从而就是model-free...
Prediction in Time Series Models and Model-free Inference with a Specialization in Financial Return Data 来自 Semantic Scholar 喜欢 0 阅读量: 46 作者: Jie Chen 摘要: Author(s): CHEN, JIE | Advisor(s): Politis, Dimitris N | Abstract: The main aim of this dissertation is to study the ...
是因为他们假设variation由dynamics带来，一个直接想法就是在mb上加入uncertainty和inference。
Statistical inference is challenging in high-dimensional data analysis. Existing post-selection inference requires an explicitly specified regression model as well as sparsity in the regression model. The performance of such procedures can be poor under either misspecified nonlinear models or a violation ...
Statistical inference for the Power Rayleigh distribution based on adaptive progressive Type-II censored data analysis of reliability and survival data, we focused on the statistical inference for the parameters of the PRD under the adaptive Type-II censored scheme... HS Migdadi,NM Al-Olaimat,M ...
Reservoir observers: model-free inference of unmeasured variables in chaotic systems. Chaos 27, 041102 (2017). Article PubMed ADS Google Scholar Pathak, J., Lu, Z., Hunt, B., Girvan, M. & Ott, E. Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents ...
首先分析下主流的model-free方法非常流行的原因。model-free 的代码实现难度相对于model-based 的而言，...