Assessing Sensitivity to Unconfoundedness : Estimation and Inference
This article provides a set of methods for quantifying the robustness of treatment effects estimated using the unconfoundedness assumption. Specifically, we estimate and do inference on bounds for …
Characterization and Manipulation of Temporal Structures of Dispersive Waves …
Dispersive waves (DWs) are ubiquitous in nonlinear optical systems that host optical solitons. In particular, DWs in soliton fiber lasers have attracted continuous interest over the past decades si…
The Primacy of Fair Presentation: Evidence from PCAOB Standards, Federal Legi…
Palmrose and Kinney (2018; hereafter PK) claim that technical compliance with GAAP is sufficient to justify an unqualified audit opinion. We disagree. PK's view ignores “fair presentation,” a c…
Distillation of News Flow Into Analysis of Stock Reactions
The gargantuan plethora of opinions, facts, and tweets on financial business offers the opportunity to test and analyze the influence of such text sources on future directions of stocks. It also cr…
Adaptive Elastic Net For Generalized Methods of Moments
Model selection and estimation are crucial parts of econometrics. This article introduces a new technique that can simultaneously estimate and select the model in generalized method of moments (GMM…
The Holdout Randomization Test for Feature Selection in Black Box Models
We propose the holdout randomization test (HRT), an approach to feature selection using black box predictive models. The HRT is a specialized version of the conditional randomization test (CRT) tha…
Auto Bias Control Technique for Silicon IQ Modulators Using the Dual-Arms Pow…
In high-capacity coherent transmission applications such as 400 Gb/s and beyond, silicon inphase and quadrature modulators (SIQMs) are widely used as a coherent transmitter assembly. The bias point…
Multiclass Probability Estimation with Support Vector Machines
Multiclass classification and probability estimation have important applications in data analytics. Support vector machines (SVMs) have shown great success in various real-world problems due to the…
Digital Subcarrier Multiplexing : Enabling Software-Configurable Optical Netw…
The various topologies, traffic patterns and cost targets of optical networks have prevented the deployment of end-to-end solutions across multi-domains, and the optimization of the network as a wh…
Background-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome…
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