Subterranean clover (Trifolium subterraneum) is a critical pasture legume in Mediterranean regions of southern Australia and elsewhere, including Mediterranean-type climatic regions in Africa, Asia, Australia, Europe, North America, and South America. Pythium damping-off and root disease caused by Pythium irregulare is a significant threat to subterranean clover in Australia and a study was con...

The paper studies the partial identifying power of structural single equation threshold crossing models for binary responses when explanatory variables may be endogenous. The paper derives the sharp identi…ed set of threshold functions for the case in which explanatory variables are discrete and provides a constructive proof of sharpness. There is special attention to a widely employed semipara...

Abstract. Data-preparation and fitting for a comprehensive model of statewise household response to the 1990 census is described, using a methodology of successive logistic regressions for longitudinally defined response variables, including indicators of response by mail, and enumerator checkin within quantile intervals of enumerator operational time for the ARA containing the household. The e...

Neuronal tuning functions can be expressed by the conditional probability of observing a spike given any combination of explanatory variables. However, accurately determining such probabilistic tuning functions from experimental data poses several challenges such as finding the right combination of explanatory variables and determining their proper neuronal latencies. Here we present a novel ap...

In this study, we combine the conversion funnel theory with statistical model to understand multi-device advertising. We investigate the important question of how the distribution of ads on multiple devices affects the consumer path to purchase. To handle the sheer volume of TB sized impression data, we develop a MapReduce framework to estimate the non-stationary Hidden Markov Model in parallel...

The purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector. To do this, based on 2597 toothpaste purchases of a panel sample of 404 households, choice models are built and their performances are compared on the 861 purchases of a test sample of 135 h...

I argue that there is a tension in our theorizing about laws of nature. We have powerful reasons to think that laws are not universal generalizations – if they are we would face the problem of explanatory circularity. But we have powerful reasons, stemming from our practice of using and reasoning with laws of nature, to think that laws are universal generalizations. I start by elucidating this ...

Despite the abundance of attention that cancer has attracted, it continues to constitute one of the deadliest scourges of the modern era. Tumour heterogeneity greatly contributes to the ineffectiveness of current therapies and hampers the study and treatment of cancer. There are two models accounting for tumour heterogeneity and propagation, namely clonal evolution model and cancer stem cell mo...

The aim of this paper is to apply recently proposed individual welfare measures in the context of random utility models of labour supply. Contrary to the standard practice of using reference preferences and wages, these measures preserve preference heterogeneity in the normative step of the analysis. They also make the ethical priors, implicit in any interpersonal comparison, more explicit. On ...

Improved firemanagement of savannas and openwoodlands requires better understanding of the fundamental connection between fuel heterogeneity, variation in fire behaviour and the influence of fire variation on vegetation feedbacks. In this study, we introduce a novel approach to predicting fire behaviour at the submetre scale, including measurements of forest understorey fuels using ground-based...