Results 31 to 40 of about 42,459 (144)
Deflating the Case for Zero Inflation
Quarterly Review, 1990 This paper analyzes the U.S. congressional proposal to instruct the Federal Reserve to, in the next five years, lower inflation to zero from its current rate of around 5 percent. The paper concludes that, when other policy options are considered, the zero inflation policy is not advisable.
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Zero-Inflated Data Analysis Using Graph Neural Networks with Convolution
ComputersZero-inflated count data are characterized by an excessive frequency of zeros that cannot be adequately analyzed by a single distribution, such as Poisson or negative binomial.
Sunghae Jun
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Droplet scRNA-seq is not zero-inflated [PDF]
Nature Biotechnology, 2019 Potential users of single cell RNA-sequencing often encounter a choice between high-throughput droplet based methods and high sensitivity plate based methods. In particular there is a widespread belief that single-cell RNA-sequencing will often fail to generate measurements for particular gene, cell pairs due to molecular inefficiencies, causing data ...
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Semiparametric zero-inflated Bernoulli regression with applications
Journal of Applied Statistics, 2021 When the observed proportion of zeros in a data set consisting of binary outcome data is larger than expected under a regular logistic regression model, it is frequently suggested to use a zero-inflated Bernoulli (ZIB) regression model. A spline-based ZIB regression model is proposed to describe the potentially nonlinear effect of a continuous ...
Chin-Shang, Li, Minggen, Lu
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Estimation Parameters And Modelling Zero Inflated Negative Binomial
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti +1 more
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Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data
BMC Medical Informatics and Decision Making, 2021 Background The influenza surveillance has been received much attention in public health area. For the cases with excessive zeroes, the zero-inflated Poisson process is widely used.
Yueying Tan +7 more
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EM Estimation for Zero- and k-Inflated Poisson Regression Model
Computation, 2021 Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There are numerous articles that show how to fit Poisson and other models which account for the excessive zeros. However, in many situations, besides zero, the
Monika Arora, N. Rao Chaganty
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A Zero‐Inflated Regression Model for Grouped Data [PDF]
Oxford Bulletin of Economics and Statistics, 2014 AbstractWe introduce the (panel) zero‐inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to the general practitioner (GP) using individual‐level data from the British Household Panel Survey ...
Brown, S. +4 more
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Zero-inflated Poisson regression mixture model [PDF]
Computational Statistics & Data Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, PLH, Li, WK, Lim, HK
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Journal of Statistical Software, 2010 Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses ...
Hai Liu, Kung-Sik Chan
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