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Using administrative data from the University of California (UC), we present evidence that UC campuses changed the weight given to SAT scores, high school GPA, and family background in response to Cal...
In this paper I critically reflect on my experiences of contributing to the conceptualisation, development, and delivery of the Behavioural Science Internship Conference as an undergraduate student. B...
The multivariate Student $t$ distribution is at the core of classical statistical inference and is also a well-known model for empirical financial data. In the present paper, we propose optimal (in th...
We present a Kalman smoothing framework based on modeling errors using the heavy tailed Student's t distribution, along with algorithms, convergence theory, open-source general implementation, and sev...
The standard approach to rank the performance of several classifiers for a given classification problem is via an independent labeled validation dataset. However, in various applications only unlabele...
Let X, X_1,X_2,... be a sequence of i.i.d. random variables with mean $\mu=E X$. Let ${v_1^{(n)},...,v_n^{(n)}}_{n=1}^\infty$ be vectors of non-negative random variables (weights), independent of the ...
Academic institutions preparing for quality and academic accreditation adopt a range of evaluations. Each of such evaluations involves closed items, a mixture of individual items on various aspects, f...
Plagiarism appears to be a common problem among college students, yet there is little evidence on the effectiveness of interventions designed to minimize plagiarism. This study presents the results of...
Program evaluation survey (PES) by students in higher education is one of the range of evaluations of academic programs. Others are course evaluation, teaching skills evaluation; and surveys of facili...
This paper considers the robust and efficient implementation of Gaussian process regression with a Student-t observation model. The challenge with the Student-t model is the analytically intractable i...
The regular evaluation of ongoing activities under academic programs is required evidence towards academic development. Indeed, such evaluations generally involve data collection on a Likert type item...
We show how to reduce the problem of computing VaR and CVaR with Student T return distributions to evaluation of analytical functions of the moments. This allows an analysis of the risk properties of ...
Let $\{X_i\}_{i\geq1}$ be an i.i.d. sequence of random variables and define, for $n\geq2$, \[T_n=\cases{n^{-1/2}\hat{\sigma}_n^{-1}S_n,\quad \hat{\sigma}_n>0,\cr 0,\quad \hat{\sigma}_n=0,}with S_n=\su...
Research continues to find large differences in student achievement gains across teachers’ classrooms. The variability in teacher effectiveness raises the stakes on identifying effective teachers and ...

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