Likelihood prediction for generalized linear mixed models under covariate uncertainty

This paper presents the techniques of likelihood prediction for the generalized linear mixed models. Methods of likelihood prediction is explained through a series of examples; from a classical one to more complicated ones. The examples show, in simple cases, that the likelihood prediction (LP) coincides with already known best frequentist practice such as the best linear unbiased predictor. The paper outlines a way to deal with the covariate uncertainty while producing predictive inference. Using a Poisson error-in-variable generalized linear model, it has been shown that in complicated cases LP produces better results than already know methods.

Speed prediction for triggering vehicle activated signs

Accurate speed prediction is a crucial step in the development of a dynamic vehcile activated sign (VAS). A previous study showed that the optimal trigger speed of such signs will need to be pre-determined according to the nature of the site and to the traffic conditions. The objective of this paper is to find an accurate predictive model based on historical traffic speed data to derive the optimal trigger speed for such signs. Adaptive neuro fuzzy (ANFIS), classification and regression tree (CART) and random forest (RF) were developed to predict one step ahead speed during all times of the day. The developed models were evaluated and compared to the results obtained from artificial neural network (ANN), multiple linear regression (MLR) and naïve prediction using traffic speed data collected at four sites located in Sweden. The data were aggregated into two periods, a short term period (5-min) and a long term period (1-hour). The results of this study showed that using RF is a promising method for predicting mean speed in the two proposed periods.. It is concluded that in terms of performance and computational complexity, a simplistic input features to the predicitive model gave a marked increase in the response time of the model whilse still delivering a low prediction error.

Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models

This study presents an approach to combine uncertainties of the hydrological model outputs predicted from a number of machine learning models. The machine learning based uncertainty prediction approach is very useful for estimation of hydrological models' uncertainty in particular hydro-metrological situation in real-time application [1]. In this approach the hydrological model realizations from Monte Carlo simulations are used to build different machine learning uncertainty models to predict uncertainty (quantiles of pdf) of the a deterministic output from hydrological model . Uncertainty models are trained using antecedent precipitation and streamflows as inputs. The trained models are then employed to predict the model output uncertainty which is specific for the new input data. We used three machine learning models namely artificial neural networks, model tree, locally weighted regression to predict output uncertainties. These three models produce similar verification results, which can be improved by merging their outputs dynamically. We propose an approach to form a committee of the three models to combine their outputs. The approach is applied to estimate uncertainty of streamflows simulation from a conceptual hydrological model in the Brue catchment in UK and the Bagmati catchment in Nepal. The verification results show that merged output is better than an individual model output. [1] D. L. Shrestha, N. Kayastha, and D. P. Solomatine, and R. Price. Encapsulation of parameteric uncertainty statistics by various predictive machine learning models: MLUE method, Journal of Hydroinformatic, in press, 2013.

Model Prediction Control For Water Management Using Adaptive Prediction Accuracy

In the field of operational water management, Model Predictive Control (MPC) has gained popularity owing to its versatility and flexibility. The MPC controller, which takes predictions, time delay and uncertainties into account, can be designed for multi-objective management problems and for large-scale systems. Nonetheless, a critical obstacle, which needs to be overcome in MPC, is the large computational burden when a large-scale system is considered or a long prediction horizon is involved. In order to solve this problem, we use an adaptive prediction accuracy (APA) approach that can reduce the computational burden almost by half. The proposed MPC scheme with this scheme is tested on the northern Dutch water system, which comprises Lake IJssel, Lake Marker, the River IJssel and the North Sea Canal. The simulation results show that by using the MPC-APA scheme, the computational time can be reduced to a large extent and a flood protection problem over longer prediction horizons can be well solved.

Electoral rules, political competition and fiscal spending: regression discontinuity evidence from brazilian municipalities

We exploit a discontinuity in Brazilian municipal election rules to investigate whether political competition has a causal impact on policy choices. In municipalities with less than 200,000 voters mayors are elected with a plurality of the vote. In municipalities with more than 200,000 voters a run-off election takes place among the top two candidates if neither achieves a majority of the votes. At a first stage, we show that the possibility of runoff increases political competition. At a second stage, we use the discontinuity as a source of exogenous variation to infer causality from political competition to fiscal policy. Our second stage results suggest that political competition induces more investment and less current spending, particularly personnel expenses. Furthermore, the impact of political competition is larger when incumbents can run for reelection, suggesting incentives matter insofar as incumbents can themselves remain in office.

Electoral institutions,cleavage structures,and the number of parties

Theory: A classic question in political science concems ",hat deteImines the number of parties that compete in a given polity. Broadly speaking, there are two approaches to answering this question, one that emphasizes the role of electorallaws in structuring coalitional incentives, another that emphasizes the importance of pre-existing social cleavages. In tbis paper, we view the number of parties as a product of the interaction between these two forces, following Powell (1982) and Ordeshook and Shvetsova (1994). Hypotheses: The effective number of parties in a polity should be a multiplicative rather than an additive function ofthe peImissiveness ofthe electoral system and the heterogeneity ofthe society. Methods: Multiple regression on cross-sectional aggregate electoral statistics. Unlike previous studies, we (1) do not confine attention to developed democracies; (2) explicitly control for the influence of presidential elections, taking account of whether they are concurrent or nonconcurrent, and ofthe effective number ofpresidential candidates; and (3) also control for the presence and operation of upper tiers in legislative elections. Results: The hypothesis is confiImed, both as regards the number of legislative and the number of presidential parties .

Avenues to success : electoral strategies and ambition in the Brazilian chamber of deputies

In the second consecutive election for the Brazilian Chamber ofDeputies, the majority of incumbents (75% in 1998 and again 75% in 2002) decided to run for reelection and at least 70% ofthem in both elections were successful, suggesting thus it would be incorrect to ignore static ambition as the main target of Brazilian legislators. It also raises doubts about the assertion that incumbents use their posts to pursue their post-Iegislative careers. However, this number also suggests that not alIlegislators seek reelection, indicating that it is also incorrect to assume alI of them are driven by similar motivations. In their attempts at career survival, incumbents may also run for higher offices (Senator, Governor, Vicegovernor). A minority still, may run for state leveI offices (regressive ambition).Given that static and progressive ambition are the two main types of career choice in Brazil, we focus on the factors that influence the career decision and electoral success of those who choose to run for reelection and those who choose to run for higher-level offices, i.e. senator and governor. We use data recently colIected from the 2002 elections.

Electoral control in the presence of gridlocks

This article presents a game-theoretic partisan model of voting and political bargaining. In a two-period setup, voters ¯rst elect an executive incumbent and the legislators from a pool of candidates belonging to di®erent parties. Once elected, the executive and the legislature bargain over a budget. Party origin and a relevant parameter of the economy, the state of the world, in°uence the bargaining cost, such that political gridlocks may occur. At the end of the ¯rst period voters observe the outcome of bargaining but do not observe the true estate of the world, and decide whether or not to reelect the same parties for the Executive and the Legislature. The model con¯rms the very recent literature by showing that voters tend to have more °exible reelection criteria when they believe the true state of the world is likely to be unfavorable. On the other hand, when voters believe the true state of the world is likely to be favorable, they become more demanding in order to reelect the incumbents. In particular, there will be government shutdown with positive probability in equilibrium. Gridlocks occur due to the imperfect information of voters and they constitute indeed an information revelation mechanism that improves electoral control in the second period.

Exposing corrupt politicians : the effects of Brazil's publicly released audits on electoral

This paper examines whether access to information enhances political accountabil- ity. Based upon the results of Brazil's recent anti-corruption program that randomly audits municipal expenditures of federally-transferred funds, it estimates the e®ects of the disclosure of local government corruption practices upon the re-election success of incumbent mayors. Comparing municipalities audited before and after the elections, we show that the audit policy reduced the incumbent's likelihood of re-election by approximately 20 percent, and was more pronounced in municipalities with radio sta- tions. These ¯ndings highlight the value of information and the role of the media in reducing informational asymmetries in the political process.

Polarización y resaca electoral en Brasil

Concluidas las exasperadas elecciones de 2014, el país pasa por un momento delicado. Por un lado, es esperado que la nueva composición del gobierno busque un tono de reconciliación posicionándose de una manera más moderada que permita el funcionamiento del modelo de gobierno de coalición aun en práctica. Por otro, ya queda evidente que será un arduo y doloroso proceso en virtud a la intensa polarización política que, a pesar de apuntar tendencias de distensión sigue un expresivo elemento en la conducción de la política brasileña