An Adaptive Functional Autoregressive Forecast Model to Predict Electricity Price Curves

We propose an adaptive functional autoregressive (AFAR) forecast model to predict electricity price curves. With time-varying operators, the AFAR model can be safely used in both stationary and nonstationary situations. A closed-form maximum likelihood (ML) estimator is derived under stationarity. The result is further extended for nonstationarity, where the time-dependent operators are adaptively estimated under local homogeneity. We provide theoretical results of the ML estimator and the adaptive estimator. Simulation study illustrates nice finite sample performance of the AFAR modeling. The AFAR model also exhibits a superior accuracy in the forecast exercise of the California electricity daily price curves compared to several alternatives.     

Uniform in bandwidth consistency for various kernel estimators involving functional data

The paper investigates various nonparametric models including regression, conditional distribution, conditional density and conditional hazard function, when the covariates are infinite dimensional. The main contribution is to prove uniform in bandwidth asymptotic results for kernel estimators of these functional operators. Then, the application issues, involving data-driven bandwidth selection, are discussed.     

Functional analysis of high-content high-throughput imaging data

High-content automated imaging platforms allow the multiplexing of several targets simultaneously to generate multi-parametric single-cell data sets over extended periods of time. Typically, standard simple measures such as mean value of all cells at every time point are calculated to summarize the temporal process, resulting in loss of time dynamics of the single cells. Multiple experiments are performed but observation time points are not necessarily identical, leading to difficulties when integrating summary measures from different experiments. We used functional data analysis to analyze continuous curve data, where the temporal process of a response variable for each single cell can be described using a smooth curve. This allows analyses to be performed on continuous functions, rather than on original discrete data points. Functional regression models were applied to determine common temporal characteristics of a set of single cell curves and random effects were employed in the models to explain variation between experiments. The aim of the multiplexing approach is to simultaneously analyze the effect of a large number of compounds in comparison to control to discriminate between their mode of action. Functional principal component analysis based on T-statistic curves for pairwise comparison to control was used to study time-dependent compound effects.     

Estimation and Inference Procedures for Semiparametric Distribution Models with Varying Linear‐Index

More flexible semiparametric linear‐index regression models are proposed to describe the conditional distribution. Such a model formulation captures varying effects of covariates over the support of a response variable in distribution, offers an alternative perspective on dimension reduction and covers a lot of widely used parametric and semiparameteric regression models. A feasible pseudo likelihood approach, accompanied with a simple and easily implemented algorithm, is further developed for the mixed case with both varying and invariant coefficients. By justifying some theoretical properties on Banach spaces, the uniform consistency and asymptotic Gaussian process of the proposed estimator are also established in this article. In addition, under the monotonicity of distribution in linear‐index, we develop an alternative approach based on maximizing a varying accuracy measure. By virtue of the asymptotic recursion relation for the estimators, some of the achievements in this direction include showing the convergence of the iterative computation procedure and establishing the large sample properties of the resulting estimator. It is noticeable that our theoretical framework is very helpful in constructing confidence bands for the parameters of interest and tests for the hypotheses of various qualitative structures in distribution. Generally, the developed estimation and inference procedures perform quite satisfactorily in the conducted simulations and are demonstrated to be useful in reanalysing data from the Boston house price study and the World Values Survey.     

M-estimation for functional linear regression

This paper studies M-estimation in functional linear regression in which the dependent variable is scalar while the covariate is a function. An estimator for the slope function is obtained based on the functional principal component basis. The global convergence rate of the M-estimator of unknown slope function is established. The convergence rate of the mean-squared prediction error for the proposed estimators is also established. Monte Carlo simulation studies are conducted to examine the finite-sample performance of the proposed procedure. Finally, the proposed method is applied to analyze the Berkeley growth data.     

Mitigating the Impact of Functional Dominance in Cross‐Functional Process Improvement Teams

Manufacturing process improvement teams often draw upon cross‐functional expertise. However, teams dominated by a single or few functions often do not achieve the desired interdisciplinary learning and cooperation, which in turn could negatively affect the performance of that cross‐functional team. Through an empirical analysis of 149 manufacturing process improvement teams in six SIC industrial categories, we show that even after controlling for several factors such as team size, number of functions, gender diversity, ethnicity, number of management levels, and geographic dispersion of team members, psychological safety of work environment fully mediates the relationship between functional dominance and team performance. We also confirm that a team leader possessing high interpersonal justice mitigates the deficiency of dominated teams and improves team performance by fostering a psychologically safe work environment. Our recommendation therefore is that when a dominated team is unavoidable due to the needed skill sets or other organizational considerations, to ensure success it is imperative that the firm chooses a team leader who can promote psychological safety by being just, and who can effectively encourage input from all functional team members and give them objective feedback.     

Raymond Williams and sociology

The purpose of this article is to recover Williams as a major theoretical inspiration for the social sciences, specifically, as the inaugurator of what might be regarded as a research paradigm, cultural materialism. In the first section, Williams's encounter with the discipline of sociology is traced and distinguished as a critical alternative to the presently ascendant – at least in the USA – neo‐Durkeimian school of ‘cultural sociology’. In the second section, his cultural‐materialist programme is proposed as a powerful analytical framework for the study of culture and society today. In the final section, a key concept of Williams's cultural materialism, mobile privatization, is selected illustratively and proposed as a powerful analytical tool for studying the production and technological mediation of typical modes of communicative sociality in the early twenty‐first century.     

‘America’ in Indian Advertising: Change and Impact

The aims of this article are threefold: One, to focus on the advertising and marketing communications situating the presence of the USA in India. Two, to address three issues concerning the where, how, and impact dimensions of marking the US presence in Indian advertising. In that process an attempt will be made to integrate three aspects of advertising, namely: marketing, media, and linguistics. Three, to account for US corporate culture as it manifests itself in advertising. Central to our discussion are two product types: consumer products (e.g. Coke, Pepsi, Kellogg’s cereals, or Cadbury’s chocolates) and socially-sensitive, or ‘taboo’, products (e.g. condoms, alcohol, and breath fresheners).     

中国史学史研究的国际视野

乔治忠认为,中国史学史学科体系的建设具有不同的构成层次,界定其学术任务和研究内容,展现学科性质的板块式逻辑结构,明晰学术研究的切入点,是独立学科地位能够成立的基础;探研中国传统史学发展的主导线索,划分中国史学的发展阶段,是在深入研究条件下的整体性把握。罗炳良认为,中国史学史的学科体系渐臻成熟,中国史学史研究也应当拓宽学术领域,促进史学史的内涵和体系不断深入和完善;要实现这个目标,至关重要的是加强史学思潮和史学批评范畴两个领域的研究。钱茂伟认为,需要用新的视角来研究史学史,一是用史学范型观照传统史学的发展历程,二是用国家与社会关系视角观照史学的发展历程;特别要重视研究民间史学,注重小历史的书写研究。朱政惠认为,中国史学史研究要放到国际中国史学史、东西方史学研究和交流的大环境中考察,从历史的纵向考察和横向的比较中探寻中国史学史研究的新方向。     

论电子商务法的功能等同原则

通过对电子商务法功能等同原则基本内涵的剖析以及国际国内电子商务法对功能等同原则的体现，阐述了为什么只有电子商务法领域才有功能等同原则、功能等同原则是如何与其它原则一同构成电子商务法基本原则体系的、功能等同原则对立法和司法实践具有什么指导意义，并最终得出功能等同原则不应该长久地作为电子商务法的基本原则的结论。