Cover Image

Issues of parameterization and computation for posterior inference in partially identified models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Seren, Gustafson, Paul
Format:	Preprint
Published:	2024
Subjects:	Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fiducial inference for partially identified parameters with applications to instrumental variable models
by: Cui, Yifan, et al.
Published: (2025)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)

Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
by: Cooper, Andrew, et al.
Published: (2025)

AutoWMM and JAGStree -- R packages for Population Size Estimation on Relational Tree-Structured Data
by: Flynn, Mallory J, et al.
Published: (2025)

Reduced-order modeling for second-order computational homogenization with applications to geometrically parameterized elastomeric metamaterials
by: Guo, T., et al.
Published: (2024)

Dissociating model architectures from inference computations
by: Sajid, Noor, et al.
Published: (2025)

Integrating representative and non-representative survey data for efficient inference
by: Dyrkton, Nathaniel, et al.
Published: (2024)

Diffusion models with physics-guided inference for solving partial differential equations
by: Bing, Yi, et al.
Published: (2026)

On the parameterized complexity of computing good edge-labelings
by: de Andrade, Davi, et al.
Published: (2024)

Algebraic identifiability of partial differential equation models
by: Byrne, Helen, et al.
Published: (2024)

Factorized neural posterior estimation for rapid and reliable inference of parameterized post-Einsteinian deviation parameters in gravitational waves
by: Zhang, Yong-Xin, et al.
Published: (2026)

Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)

Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
by: Baghfalaki, Taban, et al.
Published: (2025)

On first-order model checking parameterized by the number of variables
by: Jedelský, Jan
Published: (2026)

Semiparametric fiducial inference for Cox models
by: Cui, Yifan, et al.
Published: (2024)

InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic models
by: Tong, Guoxiang Grayson, et al.
Published: (2024)

A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)

An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
by: Xiong, Yifei, et al.
Published: (2023)

Blogging in the Library
by: Gustafson, Chris
Published: (2008)

Polynomial time guarantees for sampling based posterior inference in high-dimensional generalised linear models
by: Altmeyer, Randolf
Published: (2022)

Bayesian inference for functional extreme events defined via partially unobserved processes
by: Thannheimer, Max, et al.
Published: (2025)

Are You Ready for E-Readers in Your Library?
by: Gustafson, Chris
Published: (2012)

OS ARTISTAS DE ÁNXEL CASAL. ARTE E EDICIÓN NUNHA GALIZA ENTUSIASMADA
by: Xosé G. Serén
Published: (2005)

Dynamic parameterized problems on unit disk graphs
by: An, Shinwoo, et al.
Published: (2024)

Latent diffusion models for parameterization and data assimilation of facies-based geomodels
by: Di Federico, Guido, et al.
Published: (2024)

Think Locally: A Prudent Approach to Electronic Resource Management Systems
by: Gustafson-Sundell, Nat
Published: (2011)

Inverse design for robust inference in integrated computational spectrometry
by: Ma, Wenchao, et al.
Published: (2025)

ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data
by: Prakash, Aviral, et al.
Published: (2025)

Reusable specimen-level inference in computational pathology
by: Kaczmarzyk, Jakub R., et al.
Published: (2025)

On the parameterized complexity of computing tree-partitions
by: Bodlaender, Hans L., et al.
Published: (2022)

Improvement of Social Science Education via the Development of a Social Science Laboratory. Final Report.
by: Gustafson, Jerry W.
Published: (1982)

In your own words: computationally identifying interpretable themes in free-text survey data
by: Wang, Jenny S, et al.
Published: (2026)

Quantum algorithms for computing observables of nonlinear partial differential equations
by: Jin, Shi, et al.
Published: (2022)

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks
by: Jovanovski, Petar, et al.
Published: (2025)

Bayesian inference for scale mixtures of skew-normal linear models under the centered parameterization
by: de Freitas, João Victor B., et al.
Published: (2024)

Towards the verification of a generic interlocking logic: Dafny meets parameterized model checking
by: Cimatti, Alessandro, et al.
Published: (2024)

Editorial: Addressing Unmet Needs and Socioeconomic Disparity in Patients With Autoimmune Hepatitis
by: Seren Gedallovich, et al.
Published: (2024)

El efecto nivel del capital humano en el crecimiento económico y regional: Un breve repaso a la evidencia empírica
by: María Jesús Freire Serén
Published: (2003)

Human capital accumulation and economic growth
by: María Jesús Freire-Serén
Published: (2001)

Adiabatic quantum computing with parameterized quantum circuits
by: Kolotouros, Ioannis, et al.
Published: (2022)