10 citations · 32 across the 16 of their papers we have counts for
16 papers
Prediction of healthcare costs on consumer direct health plan in the Brazilian context
Claudia M. Peixoto, Diego Marcondes, Mariana P. Melo +2
The rise in healthcare costs has led to the adoption of cost-sharing devices in health plans. This article explores this discussion by simulating Health Savings Accounts (HSAs) to…
Metastable Financial Markets
Diego Marcondes, Adilson Simonis
Metastability is a phenomenon observed in stochastic systems which stay in a false-equilibrium within a region of its state space until the occurrence of a sequence of rare events…
Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation
Diego Marcondes, Cláudia Peixoto
Cross-validation is one of the most widely used tools for risk estimation and model selection in statistics and machine learning, yet its theoretical properties when embedded in a…
The role of prior information and computational power in Machine Learning
Diego Marcondes, Adilson Simonis, Junior Barrera
Science consists on conceiving hypotheses, confronting them with empirical evidence, and keeping only hypotheses which have not yet been falsified. Under deductive reasoning they a…
Learning the hypotheses space from data through a U-curve algorithm
Diego Marcondes, Adilson Simonis, Junior Barrera
This paper proposes a data-driven systematic, consistent and non-exhaustive approach to Model Selection, that is an extension of the classical agnostic PAC learning model. In this…
Parameter estimation in dynamical systems via Statistical Learning: a reinterpretation of Approximate Bayesian Computation applied to COVID-19 spread
Diego Marcondes
We propose a robust parameter estimation method for dynamical systems based on Statistical Learning techniques which aims to estimate a set of parameters that well fit the dynamics…
Metastable behavior of weakly mixing Markov chains: the case of reversible, critical zero-range processes
Claudio Landim, Diego Marcondes, Insuk Seo
We present a general method to derive the metastable behavior of weakly mixing Markov chains. This approach is based on properties of the resolvent equations and can be applied to…
Learning the Hypotheses Space from data Part II: Convergence and Feasibility
Diego Marcondes, Adilson Simonis, Junior Barrera
In part \textit{I} we proposed a structure for a general Hypotheses Space , the Learning Space , which can be employed to avoid \textit{overfi…
Learning the Hypotheses Space from data: Learning Space and U-curve Property
Diego Marcondes, Adilson Simonis, Junior Barrera
This paper presents an extension of the classical agnostic PAC learning model in which learning problems are modelled not only by a Hypothesis Space , but also by a Le…
Local Lift Dependence Scale
Diego Marcondes, Adilson Simonis
We propose a local and general dependence quantifier between two random variables and , which we call Local Lift Dependence Scale, that does not assume any form of dependenc…
Assessing randomness in case assignment: the case study of the Brazilian Supreme Court
Diego Marcondes, Cláudia Peixoto, Julio Michael Stern
Sortition, i.e., random appointment for public duty, has been employed by societies throughout the years, especially for duties related to the judicial system, as a firewall design…
Feature Selection based on the Local Lift Dependence Scale
Diego Marcondes, Adilson Simonis, Junior Barrera
This paper uses a classical approach to feature selection: minimization of a cost function applied on estimated joint distributions. However, the search space in which such minimiz…
A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution
Diego Marcondes, Cláudia Peixoto, Ana Carolina Maia
In this survey we present an extensive research of the vast literature about the Generalized Lambda Distribution (GLD) and propose a hurdle, or two-way, model whose associated dist…
A Nonparametric Statistical Approach to Content Analysis of Items
Diego Marcondes, Nilton Rogerio Marcondes
In order to use psychometric instruments to assess a multidimensional construct, we may decompose it in dimensions and, in order to assess each dimension, develop a set of items, s…
Random Coin Tossing with unknown bias
Diego Marcondes, Cláudia Peixoto
Consider a coin tossing experiment which consists of tossing one of two coins at a time, according to a renewal process. The first coin is fair and the second has probability $1/2…
Stopping Times of Random Walks on a Hypercube
Cláudia Peixoto, Diego Marcondes
A random walk on a -dimensional hypercube is a discrete time stochastic process whose state space is the set , which has uniform probability of reaching any neigh…