Zobrazeno 1 - 10
of 213
pro vyhledávání: '"62-04"'
Autor:
Mariani, Arturo, Senocrate, Federico, Mikiel-Hunter, Jason, McAlpine, David, Beiderbeck, Barbara, Pecka, Michael, Lin, Kevin, Kreuz, Thomas
Background: In Kreuz et al., J Neurosci Methods 381, 109703 (2022) two methods were proposed that perform latency correction, i.e., optimize the spike time alignment of sparse neuronal spike trains with well defined global spiking events. The first o
Externí odkaz:
http://arxiv.org/abs/2410.15018
Sample quantiles, such as the median, are often better suited than the sample mean for summarising location characteristics of a data set. Similarly, linear combinations of sample quantiles and ratios of such linear combinations, e.g. the interquarti
Externí odkaz:
http://arxiv.org/abs/2410.11093
We propose here a new goodness-of-fit test, named the one-sample OVL-q test (q = 1, 2, . . .), which can be considered an extension of the one-sample Kolmogorov-Smirnov test (equivalent to the one-sample OVL-1 test). We have analyzed the asymptotic p
Externí odkaz:
http://arxiv.org/abs/2408.10612
Autor:
de Leeuw, Jan
We define *fDistances*, which generalize Euclidean distances, squared distances, and log distances. The least squares loss function to fit fDistances to dissimilarity data is *fStress*. We give formulas and R/C code to compute partial derivatives of
Externí odkaz:
http://arxiv.org/abs/2407.18314
Autor:
Sun, Maojun, Han, Ruijian, Jiang, Binyan, Qi, Houduo, Sun, Defeng, Yuan, Yancheng, Huang, Jian
We introduce LArge Model Based Data Agent (LAMBDA), a novel open-source, code-free multi-agent data analysis system that leverages the power of large models. LAMBDA is designed to address data analysis challenges in complex data-driven applications t
Externí odkaz:
http://arxiv.org/abs/2407.17535
Autor:
de Leeuw, Jan
The full-dimensional (metric, Euclidean, least squares) multidimensional scaling stress loss function is combined with a quadratic external penalty function term. The trajectory of minimizers of stress for increasing values of the penalty parameter i
Externí odkaz:
http://arxiv.org/abs/2407.16645
Autor:
De Leeuw, Jan
To study convergence of SMACOF we introduce a modification mSMACOF that rotates the configurations from each of the SMACOF iterations to principal components. This modification, called mSMACOF, has the same stress values as SMACOF in each iteration,
Externí odkaz:
http://arxiv.org/abs/2407.12945
Autor:
Soltanifar, Mohsen, Lee, Chel Hee, Shirazi, Amin, Behnke, Martha, Raymond-Loher, Ilfra, Dagne, Getachew A.
The precise calculation of sample sizes is a crucial aspect in the design of clinical trials particularly for pharmaceutical statisticians. While various R statistical software packages have been developed by researchers to estimate required sample s
Externí odkaz:
http://arxiv.org/abs/2407.11342
Autor:
Wehlin, Björn H.
We present a computational framework for piecewise constant functions (PCFs) and use this for several types of computations that are useful in statistics, e.g., averages, similarity matrices, and so on. We give a linear-time, allocation-free algorith
Externí odkaz:
http://arxiv.org/abs/2404.07183
Accurately estimating Origin-Destination (OD) matrices is a topic of increasing interest for efficient transportation network management and sustainable urban planning. Traditionally, travel surveys have supported this process; however, their availab
Externí odkaz:
http://arxiv.org/abs/2312.07732