934 resultados para Cadeia de Markov
Resumo:
Projecto apresentado ao Instituto Politécnico do Porto para obtenção do Grau de Mestre em Logística Orientada por Prof. Doutor Gouveia
Resumo:
A área da saúde e do bem-estar em Portugal, é um segmento em clara expansão. Dadas as suas características geográficas, estranha-se, contudo, a falta de equipamentos no campo da talassoterapia bem como a dispersidade da oferta no sector do turismo de saúde. Respondendo a uma necessidade sentida pelo grupo Hotéis Real, este trabalho de projecto pode definir-se como o desenvolvimento de uma estratégia de construção e expressão de um novo serviço de spas para esta cadeia hoteleira, numa perspectiva de comunicação corporate. Para tal, o projecto estrutura-se assente numa revisão de literatura que analisa as principais temáticas e questões tanto da área da saúde e do bem-estar, como do sector do turismo.
Resumo:
Relatório apresentado ao Instituto Superior De Contabilidade e Administração Do Porto para obtenção do grau de Mestre em Logística Orientado por António Jorge S. T. Duarte
Resumo:
Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica
Resumo:
Dissertação apresentada ao Instituto Politécnico do Porto para obtenção do Grau de Mestre em Logística
Resumo:
A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
Resumo:
A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
Resumo:
This paper develops the model of Bicego, Grosso, and Otranto (2008) and applies Hidden Markov Models to predict market direction. The paper draws an analogy between financial markets and speech recognition, seeking inspiration from the latter to solve common issues in quantitative investing. Whereas previous works focus mostly on very complex modifications of the original hidden markov model algorithm, the current paper provides an innovative methodology by drawing inspiration from thoroughly tested, yet simple, speech recognition methodologies. By grouping returns into sequences, Hidden Markov Models can then predict market direction the same way they are used to identify phonemes in speech recognition. The model proves highly successful in identifying market direction but fails to consistently identify whether a trend is in place. All in all, the current paper seeks to bridge the gap between speech recognition and quantitative finance and, even though the model is not fully successful, several refinements are suggested and the room for improvement is significant.
Resumo:
O efeito conjugado das imposições da grande distribuição e dos consumidores cada vez mais exigentes levou aos intervenientes do sector alimentar considerarem a certificação dos seus produtos e/ou sistemas de produção e distribuição por referenciais específicos. Todas as organizações que intervêm na cadeia alimentar têm a responsabilidade de colocar no mercado produtos alimentares, cujas condições de higiene e segurança estejam devidamente garantidas. Este trabalho tem por base o levantamento dos perigos considerando todos os potenciais elos da cadeia até ao consumidor final e que podem introduzir perigos para a segurança alimentar, de forma a definir medidas para controlar esses mesmos perigos ou simplesmente comunica-los com vista ao seu controlo. Tem, ainda, como objetivo melhorar a definição da utilização prevista dos produtos ao nível da utilização imprópria, não prevista mas razoavelmente expectável a par com a identificação dos perigos que não são esperados mas que podem ocorrer e ser introduzidos no produto desde a sua origem até ao consumidor final. O trabalho desenvolvido teve por base um período de estágio curricular numa Empresa do ramo Alimentar (Empresa X), onde se realizou um levantamento e posterior revisão de todos os rótulos de caixas e embalagens, fichas técnicas e planos HACCP dos produtos comercializados. Foi possível identificar de uma forma geral os perigos associados às matérias-primas, etapas de processamento e ao produto final, demostrando assim que todos os intervenientes na cadeia alimentar têm de assegurar a segurança no produto na etapa onde intervêm. Foram ainda feitas sugestões de medidas a implementar pela Empresa e ou Fornecedor, sendo que algumas delas já foram implementadas pelos fornecedores da empresa X no seguimento da sugestão apresentada. Concluiu-se que é possível à obtenção de um produto seguro caso exista a colaboração de todos os intervenientes da cadeia alimentar e o cumprimento das boas práticas de fabrico por parte dos mesmos. No entanto constatou-se que ainda é necessário melhorar a rotulagem de alguns produtos no sentido de evitar a sua utilização impropria por parte dos consumidores ou elo seguinte da cadeia até chegar ao consumidor final.
Resumo:
Among the largest resources for biological sequence data is the large amount of expressed sequence tags (ESTs) available in public and proprietary databases. ESTs provide information on transcripts but for technical reasons they often contain sequencing errors. Therefore, when analyzing EST sequences computationally, such errors must be taken into account. Earlier attempts to model error prone coding regions have shown good performance in detecting and predicting these while correcting sequencing errors using codon usage frequencies. In the research presented here, we improve the detection of translation start and stop sites by integrating a more complex mRNA model with codon usage bias based error correction into one hidden Markov model (HMM), thus generalizing this error correction approach to more complex HMMs. We show that our method maintains the performance in detecting coding sequences.
Resumo:
INTRODUCTION: Hip fractures are responsible for excessive mortality, decreasing the 5-year survival rate by about 20%. From an economic perspective, they represent a major source of expense, with direct costs in hospitalization, rehabilitation, and institutionalization. The incidence rate sharply increases after the age of 70, but it can be reduced in women aged 70-80 years by therapeutic interventions. Recent analyses suggest that the most efficient strategy is to implement such interventions in women at the age of 70 years. As several guidelines recommend bone mineral density (BMD) screening of postmenopausal women with clinical risk factors, our objective was to assess the cost-effectiveness of two screening strategies applied to elderly women aged 70 years and older. METHODS: A cost-effectiveness analysis was performed using decision-tree analysis and a Markov model. Two alternative strategies, one measuring BMD of all women, and one measuring BMD only of those having at least one risk factor, were compared with the reference strategy "no screening". Cost-effectiveness ratios were measured as cost per year gained without hip fracture. Most probabilities were based on data observed in EPIDOS, SEMOF and OFELY cohorts. RESULTS: In this model, which is mostly based on observed data, the strategy "screen all" was more cost effective than "screen women at risk." For one woman screened at the age of 70 and followed for 10 years, the incremental (additional) cost-effectiveness ratio of these two strategies compared with the reference was 4,235 euros and 8,290 euros, respectively. CONCLUSION: The results of this model, under the assumptions described in the paper, suggest that in women aged 70-80 years, screening all women with dual-energy X-ray absorptiometry (DXA) would be more effective than no screening or screening only women with at least one risk factor. Cost-effectiveness studies based on decision-analysis trees maybe useful tools for helping decision makers, and further models based on different assumptions should be performed to improve the level of evidence on cost-effectiveness ratios of the usual screening strategies for osteoporosis.
Resumo:
This thesis examines the performance of Canadian fixed-income mutual funds in the context of an unobservable market factor that affects mutual fund returns. We use various selection and timing models augmented with univariate and multivariate regime-switching structures. These models assume a joint distribution of an unobservable latent variable and fund returns. The fund sample comprises six Canadian value-weighted portfolios with different investing objectives from 1980 to 2011. These are the Canadian fixed-income funds, the Canadian inflation protected fixed-income funds, the Canadian long-term fixed-income funds, the Canadian money market funds, the Canadian short-term fixed-income funds and the high yield fixed-income funds. We find strong evidence that more than one state variable is necessary to explain the dynamics of the returns on Canadian fixed-income funds. For instance, Canadian fixed-income funds clearly show that there are two regimes that can be identified with a turning point during the mid-eighties. This structural break corresponds to an increase in the Canadian bond index from its low values in the early 1980s to its current high values. Other fixed-income funds results show latent state variables that mimic the behaviour of the general economic activity. Generally, we report that Canadian bond fund alphas are negative. In other words, fund managers do not add value through their selection abilities. We find evidence that Canadian fixed-income fund portfolio managers are successful market timers who shift portfolio weights between risky and riskless financial assets according to expected market conditions. Conversely, Canadian inflation protected funds, Canadian long-term fixed-income funds and Canadian money market funds have no market timing ability. We conclude that these managers generally do not have positive performance by actively managing their portfolios. We also report that the Canadian fixed-income fund portfolios perform asymmetrically under different economic regimes. In particular, these portfolio managers demonstrate poorer selection skills during recessions. Finally, we demonstrate that the multivariate regime-switching model is superior to univariate models given the dynamic market conditions and the correlation between fund portfolios.
Resumo:
Tesis (Maestría en Ingeniería de Sistemas) UANL, 2012.
Resumo:
We propose an alternate parameterization of stationary regular finite-state Markov chains, and a decomposition of the parameter into time reversible and time irreversible parts. We demonstrate some useful properties of the decomposition, and propose an index for a certain type of time irreversibility. Two empirical examples illustrate the use of the proposed parameter, decomposition and index. One involves observed states; the other, latent states.
Resumo:
We derive conditions that must be satisfied by the primitives of the problem in order for an equilibrium in linear Markov strategies to exist in some common property natural resource differential games. These conditions impose restrictions on the admissible form of the natural growth function, given a benefit function, or on the admissible form of the benefit function, given a natural growth function.