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Researcher Evidence Record

Ruben Loaiza-Maya

This bounded record lists 16 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include stat.ME, econ.EM, cs.LG work dated 2017 to 2026. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 6 fields (stat.ME, econ.EM, cs.LG, +3 more) · 2017-2026 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2026 Pith paper

    Scalable likelihood-based inference for limited dependent variable models

    econ.EM provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  2. 2026 Pith paper

    A Multinomial Probit Model for Asymmetric Choice Responses

    econ.EM provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  3. 2025 Pith paper

    Robustifying Approximate Bayesian Computation

    stat.ME provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  4. 2023 Pith paper

    ABC-based Forecasting in State Space Models

    stat.ME provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  5. 2023 Pith paper

    Hybrid unadjusted Langevin methods for high-dimensional latent variable models

    econ.EM provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2023 Pith paper

    Optimal probabilistic forecasts for risk management

    q-fin.ST provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  7. 2023 Pith paper

    Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models

    stat.ML provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2022 Pith paper

    Bayesian Forecasting in Economics and Finance: A Modern Review

    econ.EM provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 5 external cited by from pith
    • 1 pith inbound references from cited_work_pith_inbound_counts
  9. 2022 Pith paper

    Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 0 external cited by from pith
    • 1 pith inbound references from cited_work_pith_inbound_counts
  10. 2021 Pith paper

    Variational Bayes in State Space Models: Inferential and Predictive Accuracy

    stat.ME provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  11. 2021 Pith paper

    Loss-Based Variational Bayes Prediction

    stat.ME provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  12. 2020 Pith paper

    Robust Approximate Bayesian Computation: An Adjustment Approach

    stat.ME provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  13. 2020 Pith paper

    Scalable Bayesian estimation in the multinomial probit model

    econ.EM provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  14. 2019 Pith paper

    Focused Bayesian Prediction

    stat.ME provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  15. 2019 Pith paper

    High-dimensional copula variational approximation through transformation

    stat.CO provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  16. 2017 Pith paper

    Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time Series

    stat.ME provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Ruben Loaiza-Maya
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 16 of 16 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 1 of 16 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 4 of 16 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 19 of 16 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Ruben Loaiza-Maya
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • stat.ME7 rows
  • econ.EM5 rows
  • cs.LG1 rows
  • q-fin.ST1 rows
  • stat.CO1 rows
  • stat.ML1 rows
  • 20171 rows
  • 20192 rows
  • 20202 rows
  • 20212 rows
  • 20222 rows
  • 20234 rows
  • 20251 rows
  • 20262 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.