Zobrazeno 1 - 10
of 6 628
pro vyhledávání: '"Dabo, A."'
Autor:
Pathmanathan, Dharini, Dabo, Issa-Mbenard, Khoo, Tzung Hsuen, Ali-Hassan, Alaa, Dabo-Niang, Sophie
In this article, we present the bivariate and multivariate functional Moran's I statistics and multivariate functional areal spatial principal component analysis (mfasPCA). These methods are the first of their kind in the field of multivariate areal
Externí odkaz:
http://arxiv.org/abs/2408.08630
Autor:
Frévent, Camille, Dabo, Issa-Mbenard
We propose a spatial autoregressive model for a multivariate response variable and functional covariates. The approach is based on the notion of signature, which represents a function as an infinite series of its iterated integrals and presents the a
Externí odkaz:
http://arxiv.org/abs/2410.07899
Autor:
Dabo, Issa, Male, Camille
We study macroscopic observables of large random matrices introduced by Pennington and Worah, defined by applying entry wise a non linear function on a product of matrices with independent entries. We allow the variance of the entries of the matrices
Externí odkaz:
http://arxiv.org/abs/2409.13433
Autor:
Caucci, Mary Kathleen, Sivak, Jacob T., Almishal, Saeed S. I., Rost, Christina M., Dabo, Ismaila, Maria, Jon-Paul, Sinnott, Susan B.
Rare-earth oxides (REOs) are an important class of materials owing to their unique properties, including high ionic conductivities, large dielectric constants, and elevated melting temperatures, making them relevant to several technological applicati
Externí odkaz:
http://arxiv.org/abs/2409.06145
In this paper, we explore dimension reduction for time series of functional data within both stationary and non-stationary frameworks. We introduce a functional framework of generalized dynamic principal component analysis (GDPCA). The concept of GDP
Externí odkaz:
http://arxiv.org/abs/2407.16024
This study introduces an innovative methodology for mortality forecasting, which integrates signature-based methods within the functional data framework of the Hyndman-Ullah (HU) model. This new approach, termed the Hyndman-Ullah with truncated signa
Externí odkaz:
http://arxiv.org/abs/2407.15461
Autor:
Dabo-Niang, Sophie, Frévent, Camille
In a world increasingly awash with data, the need to extract meaningful insights from data has never been more crucial. Functional Data Analysis (FDA) goes beyond traditional data points, treating data as dynamic, continuous functions, capturing ever
Externí odkaz:
http://arxiv.org/abs/2404.16598
Autor:
Almishal, Saeed S. I., Miao, Leixin, Tan, Yueze, Kotsonis, George N., Sivak, Jacob T., Alem, Nasim, Chen, Long-Qing, Crespi, Vincent H., Dabo, Ismaila, Rost, Christina M., Sinnott, Susan B., Maria, Jon-Paul
Interest in high-entropy inorganic compounds originates from their ability to stabilize cations and anions in local environments that rarely occur at standard temperature and pressure. This leads to new crystalline phases in many-cation formulations
Externí odkaz:
http://arxiv.org/abs/2404.15708
High-dimensional linear regression has been thoroughly studied in the context of independent and identically distributed data. We propose to investigate high-dimensional regression models for independent but non-identically distributed data. To this
Externí odkaz:
http://arxiv.org/abs/2403.20200
Recent progress towards universal machine-learned interatomic potentials holds considerable promise for materials discovery. Yet the accuracy of these potentials for predicting phase stability may still be limited. In contrast, cluster expansions pro
Externí odkaz:
http://arxiv.org/abs/2311.06179