Statistics: Recent submissions

Now showing items 41-60 of 139

    • Forward-Stagewise Clustering: An Algorithm for Convex Clustering 

      Zhang, Mimi (2019)
      This paper proposes an exceptionally simple algorithm, called forward-stagewise clustering, for convex clustering. Convex clustering has drawn recent attention since it nicely addresses the instability issue of traditional ...

    • Progress and perspectives in the discovery of polychaete worms (Annelida) of the world 

      Wilson, Simon; Pamungkas, Joko; Costello, Mark J.; Glasby, Christopher J.; Read, Geoffrey B. (2019)
      Despite the availability of well-documented data, a comprehensive review of the discovery progress of polychaete worms (Annelida) has never been done. In the present study, we reviewed available data in the World Register ...

    • Progress in the discovery of amphipod crustaceans 

      Wilson, Simon; Arfianti, Tri; Costello, Mark John (2018)
      At present, amphipod crustaceans comprise 9,980 species, 1,664 genera, 444 subfamilies, and 221 families. Of these, 1,940 species (almost 20%) have been discovered within the last decade, including 18 fossil records for ...

    • Automatic Discovery and Geotagging of Objects from Street View Imagery 

      Kenny, Eamonn; Krylov, Vladimir; Dahyot, Rozenn (2018)
      Many applications, such as autonomous navigation, urban planning, and asset monitoring, rely on the availability of accurate information about objects and their geolocations. In this paper, we propose the automatic detection ...

    • Irish Machine Vision and Image Processing Conference Proceedings 2018 

      Dahyot, Rozenn (Irish Pattern Recognition and Classification Society, 2018)
      With IMVIP 2018 the series of Irish Machine Vision and Image Processing conferences reaches a landmark occasion: IMVIP 2018 is the 20th edition in a series of which the inaugural meeting was held at the Magee campus of ...

    • Bayesian modelling of short fatigue crack growth and coalescence 

      Walsh, Cathal Dominic (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2000)
      Failure of metal structures is caused by cracks appearing and growing in the material until the strength of the structure is compromised. The way in which such cracks grow in metal has been researched extensively; the great ...

    • The development of theory to assist the application of destination yield management 

      Mulvey, Michael F. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)
      Destinations are geographical spaces where tourism experiences take place. They include the built and natural environm ent, attractions, the host community and commercial interests - predominantly SMEs. The role of ...

    • Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference 

      MCCOURT, ANGELA (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2019)
      The way in which we learn is the subject of considerable research within multiple disciplines. There is also a vast amount of on-line material available to us, causing decision-making to become increasingly difficult. ...

    • Topics in unsupervised learning 

      McNicholas, Paul David (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007)
      Two topics in unsupervised learning are reviewed and developed; namely, model-based clustering and association rule mining. A new family of Gaussian mixture models, with a parsim onious covariance structure, is introduced. ...

    • Female entrepreneurship : an exploratory study of women entrepreneurs in Ireland 

      Humbert, Anne Laure (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007)
      This thesis consists of an exploratory study of female entrepreneurship in Ireland, focusing on the motivations, obstacles and work/life balance experiences of entrepreneurs. The research relies on a combination of ...

    • Spatial modelling of damage accumulation in bone cement 

      Heron, Elizabeth A. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)
      In this thesis we develop spatial models for damage accumulation in the bone cement of hip replacement specimens. A total hip replacement consists of an artificial cup, forming the socket portion of the joint, and a ...

    • Improving exploration of posterior distributions in spatial models - a Markov chain Monte Carlo approach 

      Hayes, Bridette Anne-Marie (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)
      A Markov chain Monte Carlo (MCMC) algorithm is proposed for the evaluation of a posterior distribution. The posterior distribution is from a model that has a spatial structure and exhibits many characterisics which are ...

    • Univariate time series modelling and forecasting using TSMARS 

      Keogh, Gerard (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)
      This thesis studies threshold nonlinearity in time series using TSMARS, a time series extension of the Multivariate Adaptive Regression Splines (MARS) procedure of Friedman (1991a). MARS is model free and can detect and ...

    • Deletion diagnostics for the linear mixed model 

      Dillane, Dominic Mark (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)
      Modeling data is an integral element of modern statistical analysis. Methodological developments combined with the explosion in computing power over the past ten to fifteen years have greatly enhanced statisticians' ability ...

    • Importance resampling MCMC : a methodology for cross-validation in inverse problems and its applications in model assessment 

      Bhattacharya, Sourabh (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)
      This thesis presents a methodology for implementing cross-validation in the context of Bayesian modelling of situations we loosely refer to as 'inverse problems'. It is motivated by an example from palaeoclimatology in ...

    • The Impact of Performing a Network Meta-Analysis with Imperfect Evidence 

      LEAHY, JOY (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2019)
      Network meta-analysis (NMA) is an important aspect of evidence synthesis in a clinical setting, as it allows us to compare treatments which may not have been analysed in the same trial. In an ideal scenario we would have ...

    • A diagnostic for the general linear model : an application to Time Series 

      Sullivan, Carl (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2002)
      An outlier is an observation which is thought to be unusual. The detection of such extreme values is an important issue. Developing a model based on data containing even a single outlier can seriously bias population ...

    • An exploratory study of gender segregation in investment management in Ireland 

      Sheerin, Corina (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2013)
      Despite the entry of women in recent years, Investment Management remains a male domain. The absence of women is most notable in the fund management suite and on the trading floor (the most lucrative sub sectors of the ...

    • A risk assessment tool for highly energetic break-up events during the atmospheric re-entry 

      De Persis, Cristina (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)
      Most unmanned space missions end up with a destructive atmospheric re-entry. From ten to forty percent of a re-entering satellite’s mass may survive re-entry and hit the Earth’s surface. This has the potential to be a ...

    • Trinity College Dublin Drone Survey Dataset 

      DAHYOT, ROZENN; BOURKE, MARY; Byrne, Jonathan; Connolly, Julie; Su, Jing; Moloney, David; Krylov, Vladimir (School of Computer Science & Statistics, Trinity College Dublin, Trinity College Dublin, 2017)
      The dataset consists of 6 Zipped files and a Technical Report detailing the project. The original images from the drone survey are contained in the files names Images 1, Images 2, Images 3 and Images 4. The 3D mesh model ...