7月14日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Boron Clusters
Abstract The study of carbon clusters led to the discoveries of fullerenes, carbon nanotubes, and graphene. Are there other elements that can form similar nanostructures? To answer this question, the speaker and his research group have focused on boron clusters, which have been investigated…
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6月16日
研討會, 演講, 講座
Department of Chemistry - PhD Student Seminar - Nanostructured Metal Oxides for Electrochromic Applications
Student: Mr. Pai GENG Department: Department of Chemistry, HKUST Supervisors: Professor Jonathan HALPERT & Prof. Liang GUO
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6月16日
研討會, 演講, 講座
Department of Mathematics - Seminar on Statistics - Test of Serial Dependence or Cross Dependence for Time Series with Underreporting
In practice, the data  collected often systematically deviate from their actual values; a typical example is the underreporting of data in social sciences, ecology and epidemiology.
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6月16日
研討會, 演講, 講座
Department of Chemistry Seminar - Carbon-Skeleton Rearrangement via C-C σ Bond Activation
Speaker: Professor Wei ZENG Institution: School of Chemistry and Chemical Engineering, South China University of Technology Hosted By: Professor Yong HUANG Abstract
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6月15日
研討會, 演講, 講座
MAE/MATH joint seminar - Polynomial inclusions: definitions, applications, and open problems
Predictive modelling in physical science and engineering is mostly based on solving certain   partial differential equations where the complexity of solutions is dictated by the geometry of the domain.
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6月15日
研討會, 演講, 講座
Department of Mathematics - Seminar on Statistics - Double Cross Validation for the Number of  Factors in Approximate Factor Models
Determining the number of factoArs is essential to factor analysis. In this paper, we propose an efficient cross validation (CV) method to determine the number of factors in the approximate factor model.
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6月14日
研討會, 演講, 講座
Department of Mathematics - Seminar on Statistics - ENSEMBLE PROJECTION PURSUIT FOR GENERAL NONPARAMETRIC REGRESSION
The projection pursuit regression (PPR) has played an important role in the development of statistics and machine learning.
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6月13日
研討會, 演講, 講座
Physics Department - Pressure Driven Flow of Dense Suspensions: Pressure, Normal Stress, and Migration
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6月13日
研討會, 演講, 講座
Department of Mathematics - Seminar on Statistics - The median of means estimator: old and new
The median of means (MOM) estimator has become a go-to method for problems involving heavy-tailed data and adversarial contamination. Examples include robust versions of mean and covariance estimators, linear regression, and k-means clustering, among others.
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