1,504 research outputs found

    Compatible Weighted Proper Scoring Rules

    Full text link
    Many proper scoring rules such as the Brier and log scoring rules implicitly reward a probability forecaster relative to a uniform baseline distribution. Recent work has motivated weighted proper scoring rules, which have an additional baseline parameter. To date two families of weighted proper scoring rules have been introduced, the weighted power and pseudospherical scoring families. These families are compatible with the log scoring rule: when the baseline maximizes the log scoring rule over some set of distributions, the baseline also maximizes the weighted power and pseudospherical scoring rules over the same set. We characterize all weighted proper scoring families and prove a general property: every proper scoring rule is compatible with some weighted scoring family, and every weighted scoring family is compatible with some proper scoring rule

    Projecting Livestock Numbers

    Get PDF
    The Ministry of Agriculture and Forestry (MAF) undertakes forecasts and projections of livestock numbers as part of the twice yearly contribution to The Treasury’s economic and fiscal updates. MAF’s Pastoral Supply Response Model (PSRM) was recently re-developed and used for the first time in the Budget Economic and Fiscal Update round of 2004. The PSRM projects annual inventory numbers as at 30 June, births and livestock numbers for slaughter. The paper discusses the PSRM, the post-model adjustments process, and the feed through to a simplistic assessment of land use changes within pasture areas.Livestock numbers, forecasting, supply response, Agribusiness, Agricultural and Food Policy, Crop Production/Industries, Environmental Economics and Policy, Farm Management, Land Economics/Use, Livestock Production/Industries, Resource /Energy Economics and Policy,

    Linear Estimating Equations for Exponential Families with Application to Gaussian Linear Concentration Models

    Full text link
    In many families of distributions, maximum likelihood estimation is intractable because the normalization constant for the density which enters into the likelihood function is not easily available. The score matching estimator of Hyv\"arinen (2005) provides an alternative where this normalization constant is not required. The corresponding estimating equations become linear for an exponential family. The score matching estimator is shown to be consistent and asymptotically normally distributed for such models, although not necessarily efficient. Gaussian linear concentration models are examples of such families. For linear concentration models that are also linear in the covariance we show that the score matching estimator is identical to the maximum likelihood estimator, hence in such cases it is also efficient. Gaussian graphical models and graphical models with symmetries form particularly interesting subclasses of linear concentration models and we investigate the potential use of the score matching estimator for this case

    A Fast Algorithm for Sampling from the Posterior of a von Mises distribution

    Full text link
    Motivated by molecular biology, there has been an upsurge of research activities in directional statistics in general and its Bayesian aspect in particular. The central distribution for the circular case is von Mises distribution which has two parameters (mean and concentration) akin to the univariate normal distribution. However, there has been a challenge to sample efficiently from the posterior distribution of the concentration parameter. We describe a novel, highly efficient algorithm to sample from the posterior distribution and fill this long-standing gap

    Productivity in the New Zealand primary and downstream sectors

    Get PDF
    In New Zealand, there has been increasing interest in productivity growth, both at economywide and sector levels. The Ministry of Agriculture and Forestry maintains a total factor productivity series for the primary sectors. As part of the ministry's flagship project on growth and productivity, we are reviewing the methodology and extending productivity derivation to downstream industries. This paper presents our research results to date.total factor productivity, New Zealand, agriculture, forestry, downstream sectors, Productivity Analysis,

    Theoretical development and social capital measurement

    Get PDF
    Chapter 4, by Sarah Hean and colleagues, highlights the importance of theory development in making the concept useful to the practice of public health. The authors present an innovative way of thinking about the different facets of social capital, describe the development of a survey instrument that attempts to make explicit the inputs and outputs of social capital and describe how these can be operationalised in a practice setting. The survey tool takes account of the dynamic nature of social capital and offers a useful way of evaluating community projects

    Fingerprint Analysis with Marked Point Processes

    Get PDF
    We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finger against the hypothesis that they originate from different fingers. Our model achieves good performance on an NIST-FBI fingerprint database of 258 matched fingerprint pairs
    • …
    corecore