Some recent advances in mathematics and statistics : proceedings of statistics 2011 Canada/IMST 2011-FIM XX, Montreal, Canada, 1-4 July 2011
Bibliographic record
Abstract
Preface Hypothesis Assessment Using the Bayes Factor and Relative Belief Ratio (Z Baskurt and M Evans) An Analysis of 1990-2011 Ontario Surface Air Temperatures (D R Brillinger) A Markov Chain Monte Carlo Sampler for Gene Genealogies Conditional on Haplotype Data (K M Burkett, B McNeney and J Graham) Jackknifing Stochastic Restricted Ridge Estimator with Heteroscedastic Errors (Y P Chaubey, M Khurana and S Chandra) Molecular Classification of Acute Leukemia (G Chen and J Wu) A Note on a Nonparametric Trend Test and Its Competitors (K Deka and B Gogoi) Local Search for Identifying Communities in Large Random Graphs (N Deo and M Vasudevan) Data Mining Approaches to Multivariate Biomarker Discovery (D M Dziuda) On Sequential Change-Point Detection Strategies (E Gombay) Multi-Item Two-Stage EOQ Model Incorporating Quantity and Freight Discounts (D Gupta, K Gandhi, S Makkar and P C Jha) An Improved Bound on Average Codeword Length of Variable Length Error Correcting Codes (R Gupta and B Sharma) Trimmed Analysis of Variance: A Robust Modification of ANOVA (G S Mudholkar, D K Srivastava, C E Marchetti and A G Mudholkar) Bayesian Predictive Inference under Sequential Sampling with Selection Bias (B Nandram and D Kim) Tests For and Against Uniform Stochastic Ordering on Multinomial Parameters Based on Φ-Divergences (J Peng) Development and Management of National Health Plans: Health Economics and Statistical Perspectives (P K Sen) A Unified Approach between Population-Averaged and Cluster-Specific Analyses for Multilevel Zero-Inflated Count Data (G Sneddon, M T Hasan and R Ma) Meta-Analysis of Binary Outcomes Data in Clinical Trials (P Subbaiah, A Mallick and T K Desai) Risk Reduction of the Supply Chain through Pooling Losses in Case of Bankruptcy of Suppliers Using the Black-Scholes-Merton Pricing Model (R Valvarde and M Talla) Random Effects Modelling of Non-Gaussian Time Series Responses with Covariates (G Yan, M T Hasan and R Ma).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".